data analyst

senior software engineer

bi & analytics developer

business analyst (ai & data platforms) Jobs in Riyadh

business analyst (ai & data platforms)

senior machine learning engineer Jobs in Riyadh

senior machine learning engineer

senior data scientist

Takamol Holding

<div>
 
 The
 
 Senior Data Scientist Specialist
 
 is responsible for analyzing complex data related to customer behavior, product performance, and business operations to provide actionable insights that drive strategic decisions. This role combines deep analytical skills with a business-oriented mindset, working closely with product, marketing, and customer experience teams to identify trends, optimize products, and enhance customer satisfaction. The Senior Data Scientist will leverage advanced statistical models, machine learning, and data visualization to uncover insights and guide decision-making.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Analyze customer data to identify behavior patterns, segmentation opportunities, and churn drivers, supporting initiatives to improve customer engagement and retention.
 </li>
 <li>
 Assess product performance through data-driven insights, identifying areas for improvement, new features, and potential optimizations to increase product value and customer satisfaction.
 </li>
 <li>
 Develop predictive models and forecasting techniques to support customer lifecycle management, product adoption trends, and demand forecasting.
 </li>
 <li>
 Work closely with product, marketing, and customer experience teams to translate business needs into analytical solutions, fostering data-driven decision-making.
 </li>
 <li>
 Design and conduct A/B tests and experiments to measure the impact of new features, marketing campaigns, and product changes on customer behavior and satisfaction.
 </li>
 <li>
 Create and maintain reports and dashboards to track key business metrics related to customer and product performance, ensuring alignment with organizational goals.
 </li>
 <li>
 Present complex data insights in a clear and accessible manner to stakeholders, using data visualization techniques to support storytelling and decision-making.
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Data Science, Economics, Econometrics, Quantitative Finance, Mathematics, Physics, or a related field.
 </li>
 <li>
 4+ years of experience in data science, analytics, or a similar role, with a focus on customer and product analysis.
 </li>
 <li>
 Data Analysis, Statistical Modeling and Machine Learning.
 </li>
 <li>
 Customer &amp; Product Insights.
 </li>
 <li>
 Data Visualization &amp; Storytelling.
 </li>
 <li>
 Experimentation &amp; A/B Testing.
 </li>
 <li>
 Familiarity with CDPs and Product Analytics Tools.
 </li>
 <li>
 Agile Environment Experience.
 </li>
 </ul>
</div>

Senior Data Scientist Specialist

AIQU

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 We are seeking a highly skilled Senior Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 We are seeking a highly skilled Senior Data Scientist to lead the design, development, and deployment of advanced autonomous agents and Large Language Models (LLMs). This role offers the chance to drive innovative AI solutions in a collaborative, dynamic environment, working on cutting-edge systems that solve real-world challenges.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Agent Development: Design and implement autonomous agents that perform tasks, call external tools/APIs, and generate code to solve complex problems.
 </li>
 <li>
 LLM Integration: Develop and integrate Large Language Models to enhance agent capabilities in decision-making and natural language processing.
 </li>
 <li>
 Tooling: Equip agents with the right toolchains&mdash;RAG, vector DBs, third-party APIs&mdash;to streamline task execution.
 </li>
 <li>
 Safety &amp; Ethics: Incorporate guardrails, alignment tests, and compliance standards to ensure secure, reliable operation.
 </li>
 <li>
 Performance Optimisation: Use MLOps/DevOps best practices to monitor, benchmark, and refine models for cost-efficient scale.
 </li>
 <li>
 Collaboration: Partner with cross-functional teams to align technical solutions with business goals.
 </li>
 <li>
 Performance Optimization: Refine agent and LLM performance using MLOps and DevOps best practices.
 </li>
 <li>
 Deployment: Own end-to-end rollout on cloud (AWS, Azure, or GCP), containerising with Docker/Kubernetes where appropriate.
 </li>
 <li>
 Cross-functional Alignment: Work closely with product, engineering, and domain SMEs to translate business goals into technical roadmaps.
 </li>
 <li>
 Mentorship: Coach and review work of junior data scientists/ML engineers.
 </li>
 <li>
 Innovation: Dedicate a portion of your time to tracking AI trends and prototyping new autonomous-agent capabilities.
 </li>
 <li>
 Communication: Present insights and outcomes clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Artificial Intelligence, or related field (or equivalent practical experience).
 </li>
 <li>
 7 + years in data science/ML engineering, with 4 + years building AI systems that include autonomous agents or LLMs.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Expert-level Python and deep familiarity with PyTorch or TensorFlow.
 </li>
 <li>
 Solid grasp of MLOps (CI/CD, model monitoring, IaC).
 </li>
 <li>
 Strong problem-solving ability and clear, concise communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Hands-on experience running production workloads on at least one major cloud platform.
 </li>
 <li>
 Proven record of deploying agentic systems with integrated safety features.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist - Autonomous Agents and LLMs

Discovered MENA

<div>
 
 💻
 
 Staff Data Scientist (Product Analytics)
 
 
 
 📍 Remote
 
 
 
 
 
 We&rsquo;re looking for a
 
 Staff Data Scientist (Product Analytics)
 
 to come in and
 
 own product analytics end-to-end
 
 with one of our clients. This is a high-impact role where you&rsquo;ll shape how data is used across the entire product lifecycle &mdash; from idea to launch and beyond.
 
 
 You&rsquo;ll be building a lot from the ground up 🚀 &mdash; setting up event tracking, defining experimentation frameworks, and making sure every product decision is backed by solid, reliable data.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 <ul>
 <li>
 Define and roll out event tracking standards across web, mobile, and backend
 </li>
 <li>
 Own and optimise key product funnels (onboarding, checkout, subscriptions, etc.)
 </li>
 <li>
 Build and scale an experimentation framework (A/B testing, guardrails, SRM checks, power analysis, MDE, etc.)
 </li>
 <li>
 Turn experiment results into clear, actionable insights
 </li>
 <li>
 Partner closely with Product &amp; Engineering to embed measurement into the dev lifecycle
 </li>
 <li>
 Deep-dive into product data (retention, adoption, segmentation) to guide roadmap decisions
 </li>
 <li>
 Work with Data Platform teams on data quality &amp; tooling
 </li>
 <li>
 Mentor analysts and help build a strong data culture 🧠
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 7+ years in product analytics / data science / applied stats
 </li>
 <li>
 Strong experience running A/B tests at scale (and understanding common pitfalls)
 </li>
 <li>
 Deep knowledge of event tracking &amp; instrumentation
 </li>
 <li>
 Advanced SQL + Python (pandas, scipy, statsmodels, etc.)
 </li>
 <li>
 Solid statistical foundation (hypothesis testing, power analysis, causal thinking)
 </li>
 <li>
 Experience defining product metrics (north star, guardrails, health metrics)
 </li>
 <li>
 Strong storytelling &amp; stakeholder communication skills
 </li>
 </ul>
 
 
 
 
 
 Bonus points:
 
 
 <ul>
 <li>
 If you speak Arabic
 </li>
 <li>
 Based in Saudi (Jeddah/Makkah) and experience in the GCC
 </li>
 <li>
 Background in e-commerce, marketplaces, or SaaS
 </li>
 <li>
 Experience with tools like Eppo, Statsig, LaunchDarkly, Optimizely
 </li>
 <li>
 Familiarity with Looker, Metabase, dbt, BigQuery, ClickHouse
 </li>
 <li>
 Exposure to Bayesian methods, sequential testing, or bandits
 </li>
 </ul>
 
 
 
 
 
 
 
 
 A bit more context:
 
 
 <ul>
 <li>
 You&rsquo;ll be building the experimentation culture from scratch (an amazing opportunity to make your mark)
 </li>
 <li>
 This will start as an IC role, with strong potential to grow into leadership/management over time
 </li>
 </ul>
 
 
</div>

Staff Data Scientist 📍 Remote

McKinsey & Company

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 As a Senior Software Engineer with McKinsey Tech &amp; AI, you will work with clients across a wide range of sectors and industries, advising them on how to best leverage technology.
 
 
 You will drive architectural design, make key technology decisions, and employ agile methodologies to build and deliver the next generation of products for our clients at scale.
 
 
 You will also lead project workstreams, helping clients build their technical capabilities and foster a culture centered around engineering best practices, user-centricity, and Agile values.
 
 
 As a core member of the team, you will take on responsibilities that include driving architectural design and making strategic technology decisions to shape next-generation products for various internal teams, ensuring that we remain at the forefront of technological innovation.
 
 
 Additionally, you will be hands-on and co-creating solutions alongside our clients and their leadership, enabling you to grow into a recognized technology leader.
 
 
 You will be part of the McKinsey Digital team in Riyadh, Saudi Arabia. This group brings together the best of McKinsey&rsquo;s digital capabilities to help our clients use digital technology to transform their businesses.
 
 
 McKinsey Digital is our tech delivery people unit. A global team of software, data and cloud engineers, passionate designers, technology architects, product owners, and leading technologists.
 
 
 You will join a multidisciplinary community of developers, Agile coaches, designers, business strategists and experts. Together, we will design and create industry shaping products and tools for our clients.
 
 
 While we advocate for using the right tech for the right task, we often leverage the following technologies: JavaScript, TypeScript, React.js, Angular.js, Next.js, Vue.js, Python, Java, C#, NodeJS, SQL, MongoDB, AWS, Azure, GCP, and more!
 
 
 Our office culture is casual and social, with an emphasis on education and innovation. You will have the freedom to try new ideas and experiment in your role and will be guaranteed significant dedicated time to tinker, create, continuously learn and share cool new stuff. We also have a strong emphasis in our teams on mentoring others enabling them to grow and learn.
 
 
 Changing the world requires us to sit with our clients at times, so some travel is expected in this role.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate or master&rsquo;s degree; or equivalent experience
 </li>
 <li>
 7+ years of experience in software development, with significant full-stack web application development experience strongly preferred
 </li>
 <li>
 Demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis
 </li>
 <li>
 Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
 </li>
 <li>
 Experience working collaboratively with technical and non-technical team members and stakeholders including modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness
 </li>
 </ul>
</div>

Senior Software Engineer - Tech & AI at McKinsey

MA'ADEN

<div>Job Purpose
Lead and develop end-to-end machine learning and Generative AI solutions, ensuring architectural integrity, technical excellence, and business alignment while mentoring team members and driving successful delivery. 
Key Accountabilities
<div><ul><li>Lead and actively develop ML, deep learning, and Generative AI solutions.
</li></ul><ul><li>Design and implement LLM-based applications including RAG pipelines and embeddings strategies.
</li></ul><ul><li>Own solution architecture from problem framing to production deployment.
</li></ul><ul><li>Establish MLOps and LLMOps practices for deployment, monitoring, and retraining.
</li></ul><ul><li>Define evaluation standards, guardrails, and AI safety controls.
</li></ul><ul><li>Mentor team members and drive cross-functional collaboration.
</li></ul><ul><li>Ensure compliance with data governance and responsible AI standards.
</li></ul></div>Minimum Qualification, Experience and Competencies
<div><ul><li>Minimum Qualification
</li></ul></div><ul><li>Bachelor&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or a related quantitative field
</li></ul>Minimum Experience
<ul><li>7&ndash;9 years of experience in data science and AI, including leading end-to-end ML and Generative AI initiatives.
</li></ul>Skills:
<ul><li>Advanced ML &amp; deep learning
</li><li>LLM architecture design
</li><li>API orchestration &amp; system integration
</li><li>AI safety &amp; risk mitigation
</li><li>Enterprise AI deployment
</li><li>Cloud AI platforms (Azure, AWS, GCP)
</li><li>Technical leadership &amp; stakeholder engagement
</li><li>Solution architecture thinking</li></ul></div>

Lead Specialist, Data Science & Artificial Intelligence II

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 In the role of a Senior Knowledge Analyst, you will be part of our client consulting teams with a focus on bringing in expertise and tools in the area of health system governance, financing and provision.
 
 
 You will work closely with our healthcare clients in the kingdom from various sectors such as public bodies, health insurance companies or providers, utilizing your project management skills and communication with diverse stakeholders.
 
 
 Our Healthcare Team utilizes insights, analyses and data from the healthcare sector (e.g., health systems, health insurance companies or healthcare providers) to address some of our clients' most pressing challenges, such as: "How can we optimize healthcare costs while simultaneously improving quality?", "How is GenAI shaping the way we organize and deliver healthcare?", "Who are the most sensitive patient groups, and with which treatment pathways can we improve their care?"
 
 
 As a Senior Knowledge Analyst, you are expected to collaborate with our clients on their most urgent topics in the healthcare sphere. In your daily operations, you will collaborate closely with our experts and data scientist colleagues, and our consulting teams to prepare and execute client work. You will also support the development and maintenance of proprietary knowledge capabilities in conjunction with other experts in local and global practices.
 
 
 As part of McKinsey's global Client Capability Network, comprising over 4500 colleagues who support our clients and consulting teams with expertise and industry analyses, you will be joining our Social, Healthcare and Public Entities (SHaPE) Practice with a focus on health systems.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Bachelors or Masters in Medicine, Public Health, Health Economics, or an associated field
 </li>
 <li>
 4+ years of professional experience in a relevant field (e.g. healthcare bodies, healthcare delivery, payers and insurers, bilateral organizations, academia or consulting), preferably in the Middle East
 </li>
 <li>
 Solid understanding and application of the following areas: Health system financing, public governance, quality and access, public health, digital health and analytics
 </li>
 <li>
 Excellent problem-solving skills, particularly in analytical and quantitative areas
 </li>
 <li>
 Expertise in Microsoft Office, including Excel and PowerPoint; additional data analytics and visualization is a plus (e.g. PowerBI, SQL, Tableau, Python)
 </li>
 <li>
 Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
 </li>
 <li>
 Willingness and ability to travel to client and McKinsey locations within and outside the country
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Excellent written and verbal communication in Arabic and English
 </li>
 </ul>
</div>

Senior Knowledge Analyst - Healthcare

Gathern

<div>Job Purpose:
The Business Intelligence Manager owns the company&rsquo;s Business Intelligence function and is accountable for turning data into trusted insights that drive strategic and operational decisions. This role leads the activation of BI across the organization, focusing on correlation, causation, forecasting, and storytelling.The role also leads applied AI and machine learning initiatives, managing ML engineers to build, deploy, and operate production-grade, business-driven models, with clear ownership of applied MLOps practices to ensure reliability, scalability, and trust.
Key Responsibilities<ul><li>
 Lead the BI team in planning, developing, and delivering high-impact dashboards, reports, and analytics solutions</li><li>
 Business Intelligence Leadership</li></ul><ul><li>
Own the end-to-end Business Intelligence strategy and execution</li><li>
Establish BI as a core decision-support capability across the company</li><li>
Define and govern KPIs, metrics, and analytical standards</li><li>
Ensure insights consistently explain what happened, why it happened, and what to do next</li><li>
Lead executive and operational reporting and insight narratives</li></ul>
Analytics, Forecasting &amp; Insights<ul><li>
Oversee trend analysis, root-cause analysis, and correlation studies</li><li>
Drive forecasting, projections, and scenario analysis for planning and expectation-setting</li><li>
Ensure analytical outputs are explainable, assumption-driven, and decision-ready</li></ul>
Applied AI and Machine Learning Leadership<ul><li>
Lead and mentor ML engineers to design, build, and deploy applied machine learning models</li><li>
Own the applied ML and MLOps roadmap, aligned with BI and business priorities</li><li>
Guide the development of models such as:</li><li><ul><li>
Recommendation and pattern discovery models</li><li>
Anomaly detection</li></ul></li><li>
Define and enforce MLOps standards, including:</li><li>
Model versioning and lifecycle management</li><li>
Deployment and rollback strategies</li><li>
Monitoring model performance, drift, and data quality</li><li>
Retraining and validation processes</li><li>
Ensure ML models are:</li><li>
Business-driven and use-case oriented</li><li>
Explainable and interpretable</li><li>
Observable and maintainable in production</li><li>
Cross-Functional Leadership</li><li>
Act as the intelligence partner for Product, Finance, Operations, and Engineering</li><li>
Work closely with Data Engineering, Backend Engineering, and Platform teams to operationalize insights and ML models</li></ul>
Technical &amp; Analytical Requirements<ul><li>
Strong understanding of Business Intelligence and analytics practices</li><li>
Hands-on experience with BI tools (Power BI preferred)</li><li>
Strong analytical foundation, including:</li><li><ul><li>
Correlation vs causation</li><li>
Forecasting and scenario modeling</li><li>
Root-cause analysis</li></ul></li><li>
Solid understanding of data warehousing concepts (BigQuery preferred)</li><li>
Working knowledge of applied machine learning, including:</li><li><ul><li>
Supervised and unsupervised learning approaches</li><li>
Feature engineering and model evaluation</li><li>
Model explainability techniques</li></ul></li><li>
Working knowledge of MLOps concepts, including:</li><li><ul><li>
Model deployment and lifecycle management</li><li>
Monitoring for performance degradation and data drift</li><li>
Retraining strategies and validation workflows</li><li>
Collaboration with engineering teams on CI/CD and production readiness</li></ul></li><li>
Ability to guide ML engineers on both modeling and operationalization, without acting as a research data scientist</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field..</li><li>
5+ years of experience in business intelligence, data analytics, or data management.</li><li>
Applied ML models are deployed, monitored, and reliably operated in production</li><li>
MLOps practices ensure models remain accurate, observable, and trusted over time</li><li>
ML outputs are explainable and confidently used by business stakeholders</li><li>
BI remains the starting point for decisions, with ML and MLOps extending insight into action</li></ul></div>

BI Manager

Explore 1205+ Senior data scientist in Riyadh this April. Find roles across top companies and apply now to boost your career.