Database Developer Jobs

<h3 >About the Role</h3> <p >Aldawaa Medical Services Co. is seeking a <strong >Data Entry Specialist</strong> for a full-time position in Al Qunfidhah. This role is central to maintaining the efficiency and accuracy of warehouse operations through precise data management and active involvement in daily activities. The specialist will ensure all operational transactions are accurately recorded and contribute to the smooth flow of goods within the warehouse.</p> <h3 >Core Warehouse Operations</h3> <p >The Data Entry Specialist will be actively involved in the day-to-day execution of warehouse functions, ensuring all processes are handled efficiently. Key operational duties include:</p> <ul > <li >Handling daily warehouse activities, including receiving, put-away, picking, packing, and dispatch.</li> <li >Supporting inventory control activities, such as cycle counting and stock verification.</li> </ul> <h3 >Data Management and System Accuracy</h3> <p >A primary responsibility of this role is to ensure the integrity and accuracy of all data within the Warehouse Management System (WMS). This involves meticulous attention to detail in recording and verifying information.</p> <ul > <li >Ensuring accurate data entry of operational transactions in the Warehouse Management System (WMS).</li> <li >Verifying shipment documentation and inventory movement records.</li> <li >Reporting operational discrepancies, damages, or process deviations.</li> </ul> <h3 >Team Coordination and Oversight</h3> <p >This position also involves coordinating with warehouse staff and supervisors to maintain workflow and resolve issues, contributing to overall team productivity and adherence to procedures.</p> <ul > <li >Allocating tasks to warehouse staff and monitoring workflow during the shift.</li> <li >Coordinating with the Warehouse Supervisor to resolve operational issues.</li> <li >Assisting in training warehouse staff on operational procedures and system usage.</li> </ul> <h3 >Compliance and Performance Monitoring</h3> <p >The specialist is responsible for upholding operational standards and tracking performance against established targets to ensure efficient and safe warehouse operations.</p> <ul > <li >Ensuring operational procedures and safety guidelines are followed.</li> <li >Monitoring productivity and ensuring operational targets are achieved.</li> </ul> <h3 >Work Setting</h3> <p >This is a full-time position with Aldawaa Medical Services Co. located in Al Qunfidhah. The role operates within a dynamic warehouse environment, requiring active engagement with daily operations and team members to support efficient logistics.</p>

<p>In this role you will focus on business development; and sales of our Datacentre solutions. You will work closely with Delta Account Management sales teams to quote and win projects. You will actively develop relationships with our customers, key partners, and system integrators. You will facilitate partnerships, client sessions, and lead sales efforts ensuring appropriate experts are engaged, to deliver accurate proposals to our top customers. Main responsibilities and tasks Generate leads and build and nurture client relationships. Represent our company, with a comprehensive understanding of our offerings. Ability to build and maintain trusted relationships with C-Level executives (CXO). Understand customer requirements and deliver a consultative approach and solution-based selling. Ensure follow up on actions and activities. Be accountable for Data Centre Sales targets to our customers in Saudi. Develop proposals to customers with accurate solution leveraging Design &amp; SSE teams. Hire, train, motivate, and advise Data Centre Partners (System Integrators and Contractors). Achieve company objectives and revenue targets. Discover new growth areas. Promote Delta Data Centre solutions to customers and partners. Validate/prioritize engagement in high potential opportunities. Report on successes and areas needing improvements. Project work and areas of change Maintain an in-depth knowledge of Data Centre based solutions and customers business requirements to drive our offering in this area. Prioritize activities according to revenue generation and corporate strategy. Meet with potential clients and grow long-lasting relationships by understanding their needs.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Engineering, preferably Electrical or Mechanical. 7+ years of experience in Data Center infrastructure, Power and/or Cooling solutions. 10+ years of experience in Business Development and Partner ecosystem development. Proven track record in complex, consultative sales. Strong network within the Saudi Data Center ecosystem. Strong technical understanding of Data Center infrastructure. Excellent communication and stakeholder management skills. Strong negotiation skills. Fluent in English and Arabic</p>

<h3 >About the Role</h3> <p >Panda Retail Company – Savola Group is seeking a <strong >Data Center Specialist</strong> to join our team in Jeddah. This full-time position is integral to maintaining the robust infrastructure that underpins our digital and business operations, ensuring seamless functionality and security.</p> <h3 >Role Purpose</h3> <p >The primary purpose of this role is to operate and support the data center infrastructure. The specialist will ensure the continuous availability, security, and optimal performance of both physical and virtual environments, which are essential for enabling Panda Retail Company’s critical digital and business operations.</p> <h3 >Core Operational Responsibilities</h3> <ul > <li >Operate data center facilities, servers, storage, and network equipment to ensure continuous system availability.</li> <li >Monitor data center environmental conditions, including power, cooling, and alarms, to maintain safe operating environments.</li> </ul> <h3 >Infrastructure Management and Support</h3> <ul > <li >Perform installation, configuration, and replacement of data center hardware to support infrastructure reliability.</li> <li >Troubleshoot infrastructure incidents and hardware failures to restore services and minimize downtime.</li> <li >Execute approved maintenance activities, upgrades, and patches to maintain performance and security standards.</li> </ul> <h3 >Security and Documentation</h3> <ul > <li >Apply access control, safety, and security procedures within data center facilities to protect assets and data.</li> <li >Document infrastructure configurations, changes, and incidents to maintain accurate operational records.</li> </ul> <h3 >Collaboration and Continuous Improvement</h3> <ul > <li >Coordinate with vendors and internal teams during maintenance and incidents to ensure timely issue resolution.</li> <li >Support capacity monitoring and infrastructure improvement initiatives by providing operational insights and recommendations.</li> </ul>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer (Data) based in Saudi Arabia.<br><br>This is an opportunity to join a lean, autonomous engineering team building products that help organizations better understand and optimize cloud data costs.<br><br>You’ll play a key role in designing and delivering new capabilities across backend systems, data engineering, visualization, and cost-management workflows.<br><br>The position offers meaningful ownership, with the opportunity to shape technical direction and influence the product roadmap.<br><br>You’ll work closely with experienced engineers and founding team members in a fast-moving environment where pragmatic decisions and customer impact matter.<br><br>From data pipelines and transformation models to resilient application components, your work will directly improve the product experience.<br><br>The role is ideal for a self-directed engineer who enjoys solving complex problems, moving quickly, and owning features from concept through release.<br><br>You’ll also have the flexibility and autonomy of a distributed team that values collaboration, continuous learning, and sustainable ways of working.<br><br>Accountabilities<br><br>Design and build new product capabilities focused on data cost management, including forecasting, anomaly detection, cost allocation, and related workflows. Develop reliable and reusable backend and data-engineering solutions that surface actionable insights for customers. Build data pipelines and transformation models that support new product capabilities and identify opportunities for optimization. Create and improve data visualization features that communicate performance, query timing, efficiency, and other important metrics clearly. Develop resilient, reusable UI components that contribute to a smooth and intuitive product experience. Improve application reliability, scalability, and performance through thoughtful engineering practices and system design. Own features end to end, from identifying problems and shaping requirements through technical design, implementation, testing, and release. Evaluate technical and product tradeoffs to prioritize high-impact solutions and deliver meaningful customer value efficiently. Collaborate closely with engineers and senior stakeholders through clear proposals, documentation, code reviews, testing, and effective communication. Contribute to a culture of pragmatic execution, continuous improvement, and strong engineering quality.<br><br>Requirements<br><br>5+ years of relevant software engineering experience, with strong expertise in backend development and data engineering. Strong working knowledge of Python, Fast API, Postgre SQL, dbt, Dagster, and Snowflake. Solid understanding of system design and the ability to develop scalable, reliable technical solutions. Experience building data pipelines, transformation workflows, backend services, and data-driven product capabilities. Strong written and verbal English communication skills, with the ability to collaborate effectively in a distributed environment. Demonstrated ability to work independently, take ownership, and remain accountable for outcomes from initial concept through delivery. Strong analytical and problem-solving skills, with sound judgment when balancing speed, technical depth, and customer impact. Comfortable working in a fast-moving and evolving environment where priorities and requirements may change. Strong collaboration skills and a commitment to readable, maintainable code, clear documentation, and thorough testing. A proactive, curious, and positive approach to engineering, with genuine enthusiasm for solving challenging problems. Familiarity with Fin Ops, cloud infrastructure cost management, data-warehouse management, or observability is a plus. Previous experience working in an early-stage startup or similarly lean engineering environment is advantageous.<br><br>Benefits<br><br>Base salary of up to $180,000 CAD, plus additional compensation opportunities. Fully remote and distributed working environment with flexibility to structure work around personal commitments. High level of autonomy and ownership over technical decisions, product development, and feature delivery. Opportunity to work closely with experienced engineers and founding team members. Meaningful influence on both the technical roadmap and product direction. Support for professional and personal development, including opportunities to expand technical skills. Collaborative, entrepreneurial culture that values curiosity, pragmatism, flexibility, and work-life balance. Opportunity to contribute to a growing product focused on solving complex cloud data cost and optimization challenges.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<h3 >About Bouygues Travaux Publics KSA and the Role</h3> <p >Bouygues Travaux Publics KSA specializes in civil engineering, underground tunneling, and complex structures, delivering major infrastructure and land-use projects worldwide. As part of Bouygues Travaux Publics, the company is committed to sustainable construction and diversity. We are seeking a <strong >Project Data Senior Engineer</strong> to join our team in Al Ula, Tabuk, KSA. This full-time role requires 2-5 years of relevant experience.</p> <h3 >The Project Data Senior Engineer Role</h3> <p >The Project Data Senior Engineer is responsible for ensuring the integrity and completeness of design data throughout the project lifecycle. This role involves critical analysis of design packages, managing quantity take-offs, and maintaining integrated 3D models to support procurement, construction, and project control functions on major infrastructure projects.</p> <h3 >Key Responsibilities</h3> <ul > <li >Review incoming excavation and building design packages to ensure data completeness, model integrity, geometry, quantities, and technical specifications are suitable for procurement and construction.</li> <li >Extract and validate Material Take-Offs (MTOs), including excavation volumes, ground support systems, rockbolts, steel sets, structural, architectural, and MEP quantities.</li> <li >Develop and maintain an integrated 3D design model, incorporating design updates and monitoring design maturity at key project stages.</li> <li >Track quantity changes resulting from design revisions and provide clear variance analyses to Technical, Estimating, Finance, Procurement, and Operations teams.</li> <li >Identify design inconsistencies, clashes, missing information, and multidisciplinary coordination issues; escalate critical items to the Technical Director.</li> <li >Maintain traceability of design assumptions, model versions, RFIs, and design changes, ensuring all information is appropriately documented and controlled.</li> <li >Support the preparation of cost baselines, work-package scopes, and procurement requirements through accurate and validated design data.</li> <li >Contribute to the definition of design interfaces, handover points, trade sequencing, and construction phasing requirements.</li> <li >Develop 4D model outputs, visualizations, and construction sequence simulations to support planning, site access, and delivery coordination.</li> <li >Coordinate the integration of survey and as-built information into the project model.</li> <li >Compare as-built conditions and quantities against design and contractual requirements, highlighting discrepancies and supporting remedial-work or change assessments.</li> <li >Work closely with Design, Technical, Construction, Procurement, Planning, and Commercial teams to ensure design information is translated into construction-ready deliverables.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >Bachelor’s degree in Civil Engineering, Geotechnical Engineering, Construction Engineering, BIM/Digital Engineering, or a related discipline.</li> <li >Proven experience (2-5 years) in BIM/VDC, design coordination, digital engineering, or model-based quantity management on major construction or infrastructure projects.</li> <li >Experience in underground works, tunneling, rock excavation, or ground-support systems is highly desirable.</li> </ul> <h3 >Essential Skills and Technical Proficiency</h3> <ul > <li >Strong ability to review multidisciplinary design models and identify coordination issues, data gaps, and constructability risks.</li> <li >Demonstrated experience in Material Take-Offs, quantity tracking, design change management, and model version control.</li> <li >Proficiency with BIM and coordination tools such as Solibri, Navisworks, Revit, and/or Civil 3D; experience with 4D planning tools is an advantage.</li> <li >Good understanding of construction sequencing, work packaging, procurement interfaces, and as-built data management.</li> <li >Strong analytical and problem-solving skills, with a high level of accuracy and attention to detail.</li> <li >Ability to communicate complex technical information clearly and work effectively with multidisciplinary stakeholders.</li> <li >Fluent English communication skills, both written and verbal.</li> </ul> <h3 >Application Information</h3> <p >Candidates meeting the above requirements are encouraged to apply for this full-time position in Al Ula, Tabuk.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.<br> We’re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence.<br> Our culture is built on the relentless pursuit of excellence and meaningful impact.<br> If you’re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.<br> About the role We are searching for a strategic and inquisitive Data Scientist.<br> As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions.<br> You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.<br> What you'll do Communicate highly technical results and methods clearly to a wide variety of external clients.<br> Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.<br> Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions.<br> Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making.<br> Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.<br> Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.<br> Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments.<br> You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.<br> You will be given a lot of responsibility and trust.<br> We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.<br> The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.<br> We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.<br> B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields.<br> 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models.<br> Programming experience over three years, including data manipulation using Python or other languages.<br> Good understanding of statistics and probability, such as Bayesian methods and conditional probability.<br> Applied experience in machine learning, such as conducting model experiments.<br> Experience in version control systems, such as Git, GitHub.<br> Experience in SQL or NoSQL is preferred.<br> Familiarity with big data technologies, such as Spark.<br> Experience in deep learning frameworks, such as PyTorch.<br> Familiarity with containerization frameworks, such as Docker.<br> Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Overview about the Company<br>A leading Saudi technology and digital transformation organization specializing in Artificial Intelligence, Data & Analytics, Cloud, Smart Infrastructure, Digital Integration, Robotics, and Advanced Technology Solutions. The company partners with government entities and major enterprises to deliver innovative, data-driven solutions that enable operational excellence, digital transformation, and sustainable growth.<br>OVERALL PURPOSE OF THE ROLE<br>We are seeking a highly experienced and technically grounded AI Lead to lead and support client engagements in the government, PIF and public sector. This role blends technical expertise in AI with consulting acumen and business development capabilities, driving strategic initiatives, identifying opportunities, and delivering value-driven solutions to government, PIF and public entities. The ideal candidate will have 7+ years of experience with a solid background in AI, machine learning, and data platforms, while also being skilled at stakeholder engagement, pre-sales, proposal development, and client delivery. This role is pivotal in bridging technical possibilities with public sector needs to ensure effective transformation and value realization.<br>Roles & Responsibilities Business Development & Consulting:Lead AI and data advisory engagements with public sector clients, understanding their mission objectives and aligning solutions accordingly. Identify and cultivate opportunities for AI and data engagement within provincial and central government, PIF & public sectors. Conduct AI/ML and data maturity assessments, feasibility studies, and roadmap development. Pre-Sales AI Solution Architecture Expert:Prepare tendering proposals on AI and Data Management. Evaluate and lead selection of AI and data management platforms and solutions Prepare AI solutions architecture and design to meet clients needs Prepare cloud hosting design for AI solutions Collaborate with sales teams and technical teams to tailor solutions that meet client needs and procurement requirements. Delivery Oversight and Products Development:Lead design and implementation of AI/ML and data solutions tailored for public sector contexts (e.g., compliance, privacy, scalability). Guide data science and engineering teams in creating actionable models and platforms. Design and lead implementations of pilots and POCsPromote innovations and products development Leadership & Strategic Thoughts:Developing and executing strategic plan to grow AIGC in the AI & Data Management front Effective Leadership of the AI & Data Management Business Unit P&LLead and structure development of the AI & Data Management talent team<br>Competency Strong grasp of AI/ML algorithms, data engineering, data architecture, and MLOps. Familiarity with AI technologies and tools (e.g., Tensor Flow, PyTorch, scikit-learn, Databricks). Knowledge of cloud data platforms (e.g., Azure Synapse, AWS Sagemaker, GCP Big Query). Consulting & Business Development:Strong experience in client engagement, requirements gathering, solution scoping, and executive communication. Ability to create winning proposals, present value propositions, and conduct strategic account planning. Strategic thinker with a consultative mindset and problem-solving orientation. Sector-Specific Knowledge:Understanding of public sector challenges such as data privacy, ethics, digital inclusion, and legacy modernization. Familiarity with policy-driven AI development, regulatory compliance, and governance frameworks. Excellent communication and interpersonal skills – able to influence both technical and non-technical stakeholders. Leadership and mentoring skills – able to guide teams and junior consultants. Strong organizational, analytical, and presentation abilities. Willingness to travel as needed to client sites.

<h3 >About the Role</h3> <p >Bupa Arabia is seeking a <strong >Manager FWA Data Science</strong> to join their team in Makkah, with operations spanning Jeddah and Makkah. This full-time role is central to transforming validated analytical prototypes into robust, scalable, and measurable fraud, waste, and abuse (FWA) detection models ready for production. The role requires 5-10 years of relevant experience.</p> <h3 >Role Context and Impact</h3> <p >The Manager FWA Data Science will own the entire lifecycle of FWA detection models, including enhancement, feature engineering, calibration, validation, explainability, performance assessment, and continuous improvement. Working closely with Actuarial, Claims Integrity, and FWA AI Engineering teams, this position ensures that FWA detection models remain effective, relevant, and aligned with evolving fraud patterns post-deployment.</p> <h3 >Key Responsibilities</h3> <ul > <li >Assess AI/ML prototypes from Actuarial teams, refining model logic and improving statistical rigor.</li> <li >Enhance feature engineering methodologies and validate prototype assumptions.</li> <li >Develop explainable detection methodologies and support the migration of approved analytical models to cloud-based solutions.</li> <li >Improve and retrain FWA models using new data and investigation outcomes, developing advanced fraud detection features and enhancing anomaly detection models.</li> <li >Build risk scoring methodologies and improve model precision and operational effectiveness.</li> <li >Define model success metrics, monitor precision, recall, and business impact, and perform false-positive and false-negative analysis.</li> <li >Validate model outputs with investigators and support production readiness reviews.</li> <li >Analyze investigation outcomes to identify emerging fraud behaviors, design new detection features, and recommend modifications to existing models.</li> <li >Collaborate with FWA operations on evolving threats and monitor the business effectiveness of deployed models.</li> <li >Recommend retraining and recalibration activities, support periodic model reviews, and maintain model documentation and governance artifacts.</li> </ul> <h3 >Qualifications and Experience</h3> <ul > <li >A minimum of 5 years and a maximum of 10 years of experience in data science, with a focus on fraud detection or similar analytical model development.</li> <li >Demonstrated experience in model industrialization, enhancement, validation, and performance assessment.</li> <li >Proficiency in developing and deploying scalable data science models.</li> <li >Strong analytical skills with the ability to identify emerging patterns and recommend data-driven solutions.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Makkah, Saudi Arabia, with responsibilities covering operations in Jeddah and Makkah. The role involves close collaboration with cross-functional teams including Actuarial, Claims Integrity, and FWA AI Engineering.</p> <h3 >Application Process</h3> <p >Candidates interested in this role are encouraged to apply. Salary details will be discussed during the interview process.</p>

About AmCan International Group®<br>AmCan®is the leading distributor of specialty wellness products across the MENA region, with a network spanning over 18 countries and more than 3,000 points of sale. Headquartered in Dubai, the company represents 15+ global brands in sports nutrition, vitamins, and healthy snacks. With decades of experience in FMCG, a fully integrated ERP system, and robust physical and IT infrastructure, AmCan® enables international brands to scale efficiently across the Middle East.<br>Data Entry Clerk<br>Key Responsibilities Enter and update sales, inventory, delivery, and operational data accurately in the system and Excel sheets. Prepare and maintain daily and weekly Excel reports. Follow up with drivers regarding deliveries, collection schedules, and required documents. Coordinate and follow up with the warehouse team regarding order preparation, dispatch, delivery status, and stock related updates. Maintain accurate records and ensure all documents are properly filed. Support the Operations and Supply Chain team with general administrative and reporting tasks.<br>Requirements Saudi. Location: Jeddah, Saudi Arabia. Bachelor's degree in Business Administration or a related field.2+ years of experience as a Data Entry Clerk or in a similar role. Experience in the FMCG, trading, retail, or warehouse sector. Experience in Warehouse Management and Operations. Good knowledge of Microsoft Excel, including formulas, sorting, filtering, and data organization. Good communication skills and the ability to follow up on pending tasks.<br>What We Offer:Health insurance. Professional development opportunities. A collaborative and dynamic work environment.

<h3 >About the Role</h3> <p >Bupa Arabia is seeking a <strong >Manager - FWA Data Science</strong> to join their team in Jeddah. This full-time role is central to transforming validated FWA analytical prototypes into robust, scalable, and measurable detection models ready for production implementation. The position requires 2-5 years of experience and focuses on model enhancement, feature engineering, calibration, validation, explainability, performance assessment, and continuous model improvement throughout the solution lifecycle.</p> <h3 >Role Purpose and Context</h3> <p >The FWA Data Science Manager is responsible for ensuring FWA detection models remain effective, relevant, and aligned with evolving fraud patterns after deployment. This involves close collaboration with Actuarial, Claims Integrity, and FWA AI Engineering teams to maintain the integrity and performance of fraud detection solutions.</p> <h3 >Key Responsibilities</h3> <ul > <li >Assess and refine AI/ML prototypes from Actuarial teams, improving statistical rigor and clarifying assumptions.</li> <li >Enhance feature engineering methodologies and develop explainable detection methods.</li> <li >Support the migration of approved analytical models into cloud-based solutions.</li> <li >Improve and retrain FWA models using new data and investigation outcomes.</li> <li >Develop advanced fraud detection features and enhance anomaly detection models.</li> <li >Build risk scoring methodologies and improve model precision and operational effectiveness.</li> <li >Define model success metrics and monitor precision, recall, and business impact.</li> <li >Perform false-positive and false-negative analysis post-deployment and validate model outputs with investigators.</li> <li >Analyze investigation outcomes to identify emerging fraud behaviors and design new detection features.</li> <li >Recommend modifications to existing models and collaborate with FWA operations on evolving threats.</li> <li >Monitor the business effectiveness of deployed models and recommend retraining and recalibration activities.</li> <li >Support periodic model reviews and maintain model documentation and governance artifacts.</li> </ul> <h3 >Experience and Qualifications</h3> <ul > <li >2-5 years of relevant experience in data science, particularly in model development and fraud detection.</li> <li >Demonstrated ability to transform analytical prototypes into production-ready models.</li> <li >Proficiency in model enhancement, feature engineering, and performance assessment.</li> <li >Experience with cloud-based solutions and supporting model migration.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position based in Jeddah, requiring collaboration with various internal teams including Actuarial, Claims Integrity, and FWA AI Engineering.</p> <h3 >Application Process</h3> <p >Candidates who meet the outlined qualifications and are interested in contributing to advanced fraud detection initiatives are encouraged to apply.</p>

<h3 >About the Opportunity</h3> <p >IOTA GROUP is seeking a <strong >Senior Site Director</strong> to support a strategic program for a global leader in energy management and industrial automation. This role is based in Riyadh, Saudi Arabia, and involves the delivery of multiple hyperscale Data Centers. The position is offered on a 12-month renewable contract basis, with a part-time work type.</p> <h3 >Role Summary</h3> <p >The Senior Site Director will take full ownership of construction, installation, and commissioning readiness across multiple Data Center sites. This critical role operates within a fast-track environment, ensuring on-time delivery under aggressive schedules, strict budget control (CAPEX / OPEX), adherence to the highest quality standards for hyperscale facilities, and zero harm HSE performance. The role requires seamless coordination across multiple contractors and stakeholders.</p> <h3 >Key Responsibilities</h3> <ul > <li >Lead simultaneous Data Center construction sites.</li> <li >Drive site execution strategy and daily operational decisions.</li> <li >Manage critical systems, including MEP, MV/LV, UPS, HVAC, and generators.</li> <li >Control project schedule and critical paths, implementing recovery plans as needed.</li> <li >Handle contractual aspects such as variations, claims, and change orders.</li> <li >Ensure commissioning readiness, including FAT/SAT, punch lists, and QA/QC.</li> <li >Enforce strict HSE standards across all site activities.</li> <li >Interface with senior client stakeholders and internal leadership.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >15–20 years of experience in industrial, energy, or Data Center projects.</li> <li >Proven track record on hyperscale or mission-critical Data Centers.</li> <li >Strong expertise in MEP and electrical systems (MV/LV, UPS).</li> <li >Experience in fast-track, high-pressure project environments.</li> <li >Demonstrated ability to manage demanding clients and complex interfaces.</li> <li >Previous experience in the Middle East is considered a strong advantage.</li> </ul> <h3 >Program Context and Success Factors</h3> <p >This role contributes to a high-visibility strategic global program focused on complex, high-impact, multi-site delivery within the Data Center sector. Success in this position is measured by milestones achieved on time, zero major HSE incidents, controlled costs with limited variations, full client satisfaction, and sites ready for commissioning without delay.</p> <h3 >Contract Details</h3> <p >This position is offered as a 12-month renewable contract. The preferred starting date is as soon as possible.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Purpose</strong>&nbsp;</p><br><p>Role is to support the Principal Engineer in driving the implementation of technology use cases, vendor discussions, and in-house AI-ML applications on internal use cases. You will utilize your expertise in data science and artificial intelligence to contribute to the development and deployment of innovative solutions across the organization.&nbsp;</p><br><p><strong>Key Accountabilities</strong>&nbsp;</p><br><ul><li>Collaborate with the Principal Engineer to identify and evaluate AI-ML use cases for enhancing process efficiency and reducing reliance on conventional technologies.</li><li>Assist in developing and implementing novel data science and AI applications, including AI-advisory modelling, ML algorithms, and AI-based ESG and safety dashboards.</li><li>&nbsp;&nbsp;Conduct technical research to explore potential AI-ML applications and stay updated with emerging trends and advancements in the field.&nbsp;</li><li>Conduct technical research to explore potential AI-ML applications and stay updated with emerging trends and advancements in the field.&nbsp;</li><li>Contribute to the development of testing and validation protocols to ensure successful implementation of new technologies.&nbsp;</li><li>Collaborate with the Principal Engineer to establish best practices, standards, policies, and procedures for the adoption of novel AI and data science applications.&nbsp;</li><li>Stay updated with industry best practices and advancements in data science and artificial intelligence and share knowledge with the team.</li></ul><p><strong>Qualifications, Experience and Competencies</strong>&nbsp;</p><br><p><strong>Qualifications &amp; Experience:</strong>&nbsp;</p><br><ul><li>Bachelor's degree in computer engineering, IT Engineering, Software Engineering, or a related field</li><li>5 - 10 years of experience in data science and AI-ML technologies, with a focus on driving innovation and efficiency improvements in the extractive industry.&nbsp;</li></ul><p><strong>Ma’aden High-Performance Competencies:</strong>&nbsp;</p><br><ul><li>Teamwork&nbsp;</li><li>Integrity&nbsp;</li><li>Care&nbsp;</li><li>Ownership&nbsp;</li><li>Accountability&nbsp;</li><li>Communication&nbsp;</li><li>Continuous improvement&nbsp;</li><li>Achievement Drive&nbsp;</li><li>Decisiveness and judgement&nbsp;</li><li>Impact and influence&nbsp;</li><li>Commercial Acumen&nbsp;</li><li>Strategic Visioning&nbsp;</li></ul><p><strong>Skills:</strong>&nbsp;</p><br><ul><li><p>Problem solving capability.&nbsp;</p><br></li><li><p>Fast learner, adaptable to change to work in an agile environment.&nbsp;</p><br></li><li><p>Demonstrated skills in mastering new knowledge and its applications.&nbsp;</p><br></li><li><p>Demonstrated ability to see underlying concepts and patterns in complex situations and their application to business decisions.&nbsp;</p><br></li><li><p>Work well in a cross-functional, strongly matrixed environment.&nbsp;</p><br></li><li><p>Critical thinking capabilities, analytical skills, action orientation&nbsp;</p><br></li></ul><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

Join My Clinic, the leading multispecialty outpatient care provider in Saudi Arabia, where our mission to help people live longer, healthier, and happier lives drives everything we do. Since 2017, we've been at the forefront of healthcare, combining innovation with a deep commitment to care, collaboration, ambition, and responsibility. As we continue to grow and reach new heights, we're looking for passionate individuals who share our vision and values.<br>About the Program:<br>Tamheer program aims to train Saudi graduate holders at outstanding companies in order for them to gain experience and skills to prepare them for full-time employment.<br>Majors:Computer Science Data Science Statistics Business Analytic or any related field <br>Requirements:Saudi Acquired bachelor's degree Registered on TAQAT platform Unemployed Not registered with GOSI within the past six months Has not previously participated in Tamheer program Fluent in English Good Microsoft Office skills<br>Job Summary:Responsible for building and owning comprehensive and data-driven view of departmental performance. Collects and consolidates operational and commercial data from all available sources, develops dashboards to track individual and departmental performance, and generates actionable insights to support continuous improvement and inform decision-making<br>Primary Responsibilities: Collect data from all available sources and build a comprehensive dataset for the Telehomedepartment Enhance and maintain dashboards and establish other tools to holistically track departmentalperformance, including individual staff performance (clinical and non-clinical) Generate data-driven insights to solve ongoing operational challenges and drive continuousimprovement Partner with Team Leaders & Coordinators to translate findings into defined improvementactions and tracks their outcomes Provide the analytical capability and capacity required as the department prepares for the ramp-up in home service referrals Escalate issues promptly and contribute to continuous improvement of the business unit Supplement service quality assessment of individual staff through field observations Prepare agenda and analysis with clear actions and where required, lead weekly and monthlyperformance analysis with operational and clinical teams Perform other professional duties requested from line manager

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Title: Senior Technical Specialist Data Integrity Salary: Competitive Location: Taif, Saudi Arabia JOB PURPOSE BAE Systems is the UK Government s nominated Prime Contractor under the Government-to-Government arrangements that are in place to provide equipment, support and training to Saudi Arabia. We provide maintenance of Royal Saudi Air Force (RSAF) aircraft and train RSAF and Royal Saudi Naval Force personnel safely in a training environment in how to use their aircraft, equipment and weapons. BAE Systems Saudi Arabia is committed to supporting the Saudi Arabian National Agenda including Saudisation and the training and development of Saudi National capability through the growth of the Saudi National Partner Companies thereby reinforcing Industrialisation and Partnerships. Lead and manage critical aspects of Typhoon Technical Support Service (TTSS) related to data integrity and management. Primary focus will be on ensuring the accuracy, consistency, and reliability of data within the Maintenix Integrated Maintenance Solution (IMS) and other related systems. Support the Technical Services Manager by overseeing data policies, assessing data change requests, and resolving data queries. This role requires strong collaboration with internal and external stakeholders to maintain high data standards and support the depth maintenance program. JOB ACCOUNTABILITIES Ensure the accuracy and integrity of data within the Maintenix IMS and other related systems, supporting the depth maintenance program and satisfying data analysis requirements. Assess and manage Data Change Requests (DCR) and any corresponding changes in IMS or Engineering Sub System (ESS) to sustain Typhoon Reference Data throughout its lifecycle. Test and validate reference and business data changes before their implementation into the live IMS Maintenix system. Resolve reference data queries, define amendments, and issue new data, authorising manual or automatic script file changes as needed. Assess and compare data integrity relating to aircraft and component life data stored in separate sources, including ESS, Technical Publications, and IMS Maintenix. Analyse Technical Specialist Reports and data provided by the In-Service Data Management Team to identify adverse trends and recommend improvements. Maintain local processes and procedures related to ESS Data Integrity. Establish and maintain effective communication between the UK-based In-Service Support Team (ISST), In-Kingdom Industry Participation (IKIP), Typhoon Design Support Team, Typhoon Approved Maintenance Organisation (AMO), European Industry via the BTSC at Warton, and the RSAF. Ensure that Technical Requests (TR) and other discrete tasks are satisfied within contracted KPMs. Prepare inputs to monthly and other TTSS performance reports, summarising TR activities, recording TR performance, and proposing potential improvements. Act as a subject matter expert (SME) for Typhoon IMS and ESS, providing technical advice to AMO, RSAF, and other TTSS stakeholders within approved data. Support TTSS data analysis, including from the In-Service Data Management Team, to identify trends in maintenance or operations and propose potential improvements. Provide structured on-the-job training, coaching, advice, and mentoring for RSAF and Saudi National Technical Specialists as required. RECRUITMENT SPECIFICATION Essential: Extensive post qualification practical maintenance/CA experience supported by formal record, including a minimum requirement of 5 years within relevant CA environment. Substantial Typhoon Data (ESS or IMS) experience. Strong knowledge of Typhoon aircraft systems, and associated support products, with experience in troubleshooting, repair, and maintenance. Ability to communicate technical information clearly and effectively to both technical and non-technical stakeholders. A recognised qualification to NVQ3/ONC/OND/BTEC level in a relevant technical discipline, or a technical apprenticeship, or suitable equivalent technical qualification acceptable to M&amp;CA, OR Part 66 licensed (current or lapsed), or suitable equivalent technical license acceptable to M&amp;CA. And Saudi Engineering Council (SEC) Registration. Fluent in English, with excellent communication skills, both written and verbal. Desirable: Should be able to work on his own initiative to resolve complex technical issues. Should have broad aerospace and defence company / industry knowledge. Experience in managing Technical Requests (TRs) and using systems such as TeamCenter for Request resolution. Computer literate with a sound understanding of the Microsoft Office suite. NVQ5/BTEC/HND or Degree in a relevant technical discipline, acceptable to M&amp;CA. Incorporated or Technician Engineer with an appropriate professional institute such as Saudi Council of Engineers, Royal Aeronautical Society or Institute of Engineering &amp; Technology. EXPATRIATE EMPLOYEE BENEFITS In return for the required high levels of commitment and hard work you will receive a competitive salary, rent free accommodation and access to free recreation facilities, all available within Company secured accommodation. In addition, a generous leave and travel allowance makes this an opportunity not to be missed. On successfully securing a role your appointment to Saudi Arabia will initially be on single status. On commencement of employment in Saudi Arabia you will have the opportunity to apply to have your family join you in the future. A full health care scheme is provided within Saudi Arabia. SAUDI NATIONAL EMPLOYEE BENEFITS In return for the required high levels of commitment and hard work you will receive a competitive salary and benefits package, including a generous leave and travel allowance, a full health care scheme and access to subsidised recreational facilities BAE Systems At BAE Systems, we provide some of the world s most advanced, technology-led defence, aerospace and security solutions. We employ a skilled workforce of 89,600 people in more than 40 countries. Working with customers and local partners, we develop, engineer, manufacture, and support products and systems to deliver military capability, protect national security and people, and keep critical information and infrastructure secure. All appointments in Saudi Arabia are subject to receipt of all necessary Government and/or Customer approvals.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>RECRUITMENT SPECIFICATION Essential: Extensive post qualification practical maintenance/CA experience supported by formal record, including a minimum requirement of 5 years within relevant CA environment. Substantial Typhoon Data (ESS or IMS) experience. Strong knowledge of Typhoon aircraft systems, and associated support products, with experience in troubleshooting, repair, and maintenance. Ability to communicate technical information clearly and effectively to both technical and non-technical stakeholders. A recognised qualification to NVQ3/ONC/OND/BTEC level in a relevant technical discipline, or a technical apprenticeship, or suitable equivalent technical qualification acceptable to M&amp;CA, OR Part 66 licensed (current or lapsed), or suitable equivalent technical license acceptable to M&amp;CA. And Saudi Engineering Council (SEC) Registration. Fluent in English, with excellent communication skills, both written and verbal. Desirable: Should be able to work on his own initiative to resolve complex technical issues. Should have broad aerospace and defence company / industry knowledge. Experience in managing Technical Requests (TRs) and using systems such as TeamCenter for Request resolution. Computer literate with a sound understanding of the Microsoft Office suite. NVQ5/BTEC/HND or Degree in a relevant technical discipline, acceptable to M&amp;CA. Incorporated or Technician Engineer with an appropriate professional institute such as Saudi Council of Engineers, Royal Aeronautical Society or Institute of Engineering &amp; Technology.</p><p></p></section>

Whiteshield combines AI with economic expertise to solve real policy challenges. In the AI Economics unit, you'll turn data into decisions that shape how governments and businesses set policy, manage resources, and plan for growth.<br><br>You'll combine AI, machine learning, geospatial analysis, and economic modelling to extract actionable intelligence from sources like satellite imagery, trade data, and macroeconomic indicators. You'll design and automate data pipelines, power interactive dashboards and rankings, and build strategy tools that deliver measurable impact.<br><br>Requirements<br><br>We are looking for strong data scientists and technically literate consultants. We ask people to understand a problem, ideate a solution that addresses the core need, build it technically, then communicate it with clarity and confidence. If you are capable of some of that and eager to develop the rest, we encourage you to apply.<br><br>Intellectual curiosity, problem-solving drive, and a focus on real-world impact are the priorities<br><br>Benefits<br><br>Real influence and access - Shape national policy, competitiveness strategies, and sustainable growth plans while working directly with senior government officials, global institutions, and major corporations. Room to innovate - If you see a better way, try it. We encourage new methods and actively pilot new technologies. Cutting-edge tools - Work with AI, LLMs, predictive modelling, geospatial analytics, and simulation platforms. Structured growth - Learn from senior experts through hands-on mentoring and project-based skill transfer.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description Large Bank in Saudi is looking for migration functional lead role for its Murex greenfield implementation project. Responsibilities Demonstrate strong knowledge of Murex 3.1 workflows and MxML, including trade, contract, and exchange workflows. Apply extensive experience in Murex workflow development covering trade life cycle, system interface workflow creation, confirmation generation, error management, and OSP. Propose enhancements to existing solutions using analytical and technical expertise. Skills Must have The role requires substantial expertise in Murex, specifically 7 to 10 years of overall experience with 5 to 7 years dedicated to migration projects. The candidate must demonstrate proficiency in MXML 3.1, including the use of XML/XST languages, Data Dictionaries, and Templates. Technical proficiency extends to creating messaging queues (MQ) and UNIX shell scripting. Hard skills expected include: Expertise in Murex migration projects. Proficiency with MXML 3.1 and related XML/XST technologies. Development of MXML Exchange workflows. Knowledge of SWIFT and paper confirmations. Familiarity with trade interfaces such as MarkitWire, TOF, OMGEO, and RTNS. Understanding market data uploads in both real-time (RTBS) and batch (MDIT) modes. Experience with contract, deliverable, event, and exchange workflows. Technical skills in messaging queue creation and UNIX shell scripting. Comprehensive grasp of the front-to-back trade life cycle. Awareness of FX, IR, FI, and Equity products. Soft skills implied involve: Ability to manage complex migration projects. Analytical skills for workflow development. Effective communication across technical and business teams. Adaptability to diverse trade interfaces and market data processes. Nice to have - Other Languages English: A1 Beginner Seniority Regular</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 >Solution Architect, Data Centre Infrastructure</h3> <p >Vertiv is seeking a <strong >Solution Architect, Data Centre Infrastructure</strong> to join its team in Riyadh, Saudi Arabia. This full-time role is designed for a data centre professional who focuses on delivering infrastructure that is built, commissioned, and operated at scale, moving beyond conceptual design to real-world deployment.</p> <h3 >Role Overview and Strategic Impact</h3> <p >As part of the Infrastructure Solutions business unit, specifically within the prefabricated division, the Solution Architect will represent Vertiv's full capabilities to customers. This position involves translating complex client requirements into integrated, world-class data centre solutions. The role operates at the intersection of engineering, delivery, and client engagement, overseeing the solution journey from initial concept through to deployment. It requires a practical understanding of what performs effectively in live environments, not solely theoretical design.</p> <h3 >Key Responsibilities</h3> <ul > <li >Translate customer requirements into solution concepts using approved architectures and standards.</li> <li >Develop comprehensive technical proposals, solution descriptions, and Bills of Material.</li> <li >Provide technical support to the Sales team during customer engagements, presentations, and clarifications.</li> <li >Apply Vertiv reference architectures, redundancy models, and design guidelines, ensuring alignment with portfolio positioning, cost models, and delivery constraints.</li> <li >Identify and escalate deviations from standard architectures as required.</li> <li >Collaborate with internal engineering disciplines (electrical, mechanical, controls, services) and coordinate inputs from specialists.</li> <li >Support the smooth handover of solutions into execution phases.</li> <li >Ensure solutions meet defined technical, compliance, and customer requirements, highlighting technical risks, assumptions, and dependencies.</li> <li >Support validation against applicable standards, including Tier intent and redundancy philosophy.</li> <li >Capture lessons learned from executed projects and contribute feedback to improve reference designs, tools, and solution guidelines.</li> <li >Actively develop technical and commercial understanding of Vertiv’s offerings.</li> </ul> <h3 >Essential Capabilities and Experience</h3> <p >Success in this role is built upon a combination of design expertise, operational understanding, and client engagement. Candidates should possess <strong >5-10 years of relevant experience</strong> and demonstrate the following core capabilities:</p> <ul > <li ><strong >Design Depth:</strong> Strong mechanical and electrical design capability across data centre systems, coupled with cross-discipline awareness.</li> <li ><strong >Operational Reality:</strong> Proven experience with constructed, commissioned, and running data centre facilities.</li> <li ><strong >Customer Leadership:</strong> Ability to effectively engage clients, translate complex requirements, and shape solutions that deliver measurable value.</li> </ul> <h3 >Additional Requirements</h3> <ul > <li >Willingness to travel approximately 20% of the time.</li> </ul> <h3 >Application Information</h3> <p >Candidates who meet the above qualifications are encouraged to apply.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a motivated Data Intelligence analyst to join our team supporting the B2C business. In this role, you will help translate business questions into data-driven insights, working closely with cross-functional teams to monitor performance and support decision-making through descriptive analysis.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in a STEM field or Business Administration.</li><li>Logically sound with strong problem-solving and analytical thinking abilities.</li><li>Basic to intermediate SQL skills (querying, joins, aggregations).</li><li>Familiarity with visualization tools like Tableau or Power BI is a plus.</li><li>Good communication skills in both English and Arabic.</li><li>Eagerness to learn, attention to detail, and ability to work in a fast-paced environment.</li><li>Fresh graduates are encouraged to apply; prior internship or academic project experience in analytics is a plus.</li></ul><p></p></section>

<p>The position will support and expand our portfolio of regional (GCC) and global clients by serving as a strategic partner and trusted advisor. The role is responsible for delivering high-quality analytical insights, guiding clients in leveraging data effectively, and influencing key business decisions. The ideal candidate will bring strong expertise in predictive modelling, statistical analysis, and data interpretation, combined with solid business acumen. They will be proficient in transforming complex analytical results into clear, actionable recommendations while managing and strengthening long-term client relationships. Exceptional communication, stakeholder management, and consultative skills are essential.</p><p>Core Responsibilities and Accountabilities:</p><ul><li>Manage deliverable development and workstreams on projects across a range of industries and problem statements.</li><li>Contribute to and/or develop strategies and programs for regional and global clients by leveraging data science tools including Test &amp; Learn.</li><li>Manage working relationship with client managers and function as a trusted and reliable partner.</li><li>Provide analytical and technical subject matter expertise and drive client success through Test &amp; Learn adoption and competency.</li><li>Develop sound business recommendations and deliver effective client presentations.</li><li>Plan, organise, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems using Test &amp; Learn, synthesize analyses into relevant findings, and create impactful storylines.</li><li>Contribute to the firm's intellectual capital and solution development.</li></ul><p>Knowledge and Experience:</p><ul><li>8-10 years' experience in predictive modelling and advanced data analysis, with the ability to design, implement, and validate analytical models to support business decision-making.</li><li>Strong proficiency in SQL and Python for data extraction, transformation, analysis, and automation; experience with SAS is a valuable advantage.</li><li>Proven ability to interpret complex analytical outputs, synthesize findings, and translate them into clear, actionable business recommendations.</li><li>Skilled in collaborating with cross-functional teams to understand business requirements, define analytical approaches, and ensure insights are aligned with client objectives.</li><li>The ability to present insights and drive data-driven conclusions to senior stakeholders, supporting strategic planning and operational improvement initiatives.</li></ul><p>Mandatory Skills:</p><ul><li>Bachelor's degree in Finance, Economics, Business Administration, Computer Science, Information Technology, or a related field (Master's preferred).</li><li>Previous experience within Banking, Digital Payment &amp; Card solutions or the FinTech industry.</li><li>Regional experience, including working in a faced-paced matrix organisation.</li><li>Excellent communication skills in English (written, verbal, and presentation); Arabic preferred.</li></ul><p>Preferred Skills:</p><ul><li>Good understanding of payment systems, digital platforms, system workflows, security basics, and industry technologies.</li><li>An understanding of regional regulations across financial services or payment networks.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Finance, Economics, Business Administration, Computer Science, Information Technology, or a related field (Master's preferred).</li><li>Previous experience within Banking, Digital Payment &amp; Card solutions or the FinTech industry.</li><li>Regional experience, including working in a faced-paced matrix organisation.</li><li>Excellent communication skills in English (written, verbal, and presentation); Arabic preferred.</li><li>Good understanding of payment systems, digital platforms, system workflows, security basics, and industry technologies.</li><li>An understanding of regional regulations across financial services or payment networks.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us</strong></p><br><p>Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p><br><p>Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p><br><p><em><strong>Research sits centrally and serves every vertical at Tamara. We're now expanding the function. The next chapter brings quantitative research, market research, and cultural research fully in-house, so that we can triangulate across methods and produce more comprehensive, decision-ready insights for teams across Tamara.&amp;nbsp;This is a role at the intersection of behavioural data and user research. You'll work alongside qualitative researchers to bring quantitative rigour to how we understand customers, their journeys, and the products they use.</strong></em></p><br><p>The successful candidate will have experience developing analytical solutions and assisting with data-driven decision making, while managing stakeholders across a broad range of functions. Tamara is a high growth startup looking to develop key product success metrics and enhancing decision making through data.&amp;nbsp;</p><br><p><strong>Your Responsibilities</strong></p><br><ul><li>Drive business impact through actionable insights and identifying key opportunities for rapid growth</li><li>Build dashboards that provide accurate and actionable insights</li><li>Work with the data engineering team on the data enrichment needs of the product team</li><li>Work with stakeholders across the business to prioritize projects based on impact and drive delivery</li><li>Developing a process to identify, analyse, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholders</li><li>Ensuring governance and being a steward of good analytical practices throughout the process</li></ul><p><strong>Your Expertise</strong></p><br><ul><li>6+ years of experience in data analytics</li><li>Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science or other analytical field. Graduates from other fields with relevant knowledge and experience are welcome to apply.</li><li>Hands on experience using programming (Python, R) to manipulate large data sets for insights</li><li>Demonstrated proficiency in one or more implementations of SQL (e.g. MySQL, PostgreSQL)</li><li>Display understanding of your domain of interest - Whether its Finance, Risk, or Product</li><li>Experience using Machine Learning tools and techniques in R or Python a plus!</li><li>Experience using one or more data visualization tools (e.g. Tableau, PowerBI, Qlik)</li><li>Experience creating data visualizations and dashboards with Apache Superset a bonus</li><li>Experience in a high-growth startup or unicorn a bonus!</li></ul><p>All qualified individuals are encouraged to apply.</p><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>