35 AI jobs in Saudi Arabia

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SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

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Job Posting location will be Riyadh, Saudi Arabia (on-site)

Position Objectives:

• Lead the development of scalable data pipelines and end-to-end AI/ML solutions, incorporating both traditional machine learning and Generative AI (LLMs, RAG, Agentic AI) to address real-world business challenges.
• Drive experimentation, explainability (SHAP, LIME), model deployment, and insight delivery in collaboration with cross-functional teams to produce measurable, stakeholder-aligned outcomes.

Job Descriptions & Responsibilities:

• Perform data exploration, profiling, cleaning, feature engineering, and statistical analysis to prepare high-quality datasets for modeling.
• Develop, fine-tune, and validate ML/DL models using Python (Scikit-learn, TensorFlow, PyTorch) and integrate Generative AI components like LLMs, prompt engineering, and RAG pipelines.
• Apply model explainability techniques (e.g., SHAP, LIME) to enhance transparency and trust in AI outputs.
• Contribute to the design of agentic AI workflows (e.g., reasoning loops, task orchestration via LangChain or AutoGen).
• Collaborate with cross-functional teams (AI, MLOps, Data, Applications) to align solutions with business needs and ensure smooth deployment.
• Support insight delivery through BI tools (e.g., Power BI), data storytelling, and stakeholder-focused presentations.
• Ensure timely delivery of prototypes, deployments, and iterations, while adapting to evolving tools and frameworks.
• Achieve quarterly benchmarks for validated models, reusable data pipelines, and impactful AI solutions using GenAI/Agentic AI.
• Drive stakeholder satisfaction by delivering actionable insights, accurate reports, and architecture walkthroughs.
• Exhibit strong communication, problem-solving, and time management skills while maintaining business empathy and customer focus.

Qualification & Experience:

• Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Mathematics, or Engineering.
• 4+ years of hands-on experience in Data Science or AI/ML roles with proven model deployment.
• Strong foundation in machine learning, deep learning, statistical analysis, and Generative AI.
• Proficient in Python (NumPy, Pandas, Scikit-learn, Matplotlib, Transformers) and SQL.
• Experience with deep learning frameworks (TensorFlow, PyTorch) and GenAI libraries (Hugging Face, LangChain).
• Skilled in LLM fine-tuning, embedding models, RAG pipelines, and agentic AI workflows.
• Familiar with data storage optimization, low-latency model serving, and OpenShift AI platform concepts.
• Knowledge of BI tools (e.g., Power BI), data modeling, and storytelling for business insights.
• Relevant certifications/workshops in AI, ML/DL, or Cloud platforms (AWS, GCP, Azure) preferred.
• Language: English – mandatory; Arabic – an added advantage.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Design and Engineering
• Industries Information Services, IT Services and IT Consulting, and Telecommunications

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The KSPP is a newly established graduate school that offers master’s and executive education programs. The first cohort of master’s students commenced their graduate studies in the fall of 2024. Situated in the thriving capital city of Riyadh, Saudi Arabia, on the state-of-the-art KAPSARC campus, the KSPP is well-placed to offer students an exceptional educational experience.

The KSPP’s vision is to be a world-class education and research institution that prepares the next generation of public policy leaders and professionals within the Kingdom of Saudi Arabia and globally. To achieve this vision, the school is committed to providing high-quality educational programs and creating a bridge between academia, industry, and government. As the first public policy school in the Kingdom of Saudi Arabia, the KSPP is uniquely positioned to offer public policy degrees focusing on management and leadership, energy and climate policy, and data analytics. By providing concentrations in these areas, the school aims to help students develop the skills and knowledge necessary to address pressing policy challenges and make a meaningful impact in their communities and beyond.

The KAPSARC School of Public Policy (KSPP) invites applications for an Adjunct/Visiting faculty position in Data Science. We welcome candidates from any subfield of Data Science, including those with research interests that intersect with political science, decision science, and/or economics. The KSPP offers a highly competitive salary and benefits package, including children’s educational support, housing support, and premier health insurance.

Responsibilities:

• The successful candidate will be expected to carry out impactful research, teach courses related to the candidate’s research field, contribute to core courses and/or electives in public sector management and leadership, supervise capstone projects, and contribute to the overall academic environment of the School.

Qualifications:

• PhD or equivalent degree in Data Science or a similar discipline, with a strong record in teaching, research, and service.

Responsibilities

Provide technical leadership and strategic direction expertise with clients across industries to define and execute Gen AI strategies that align with their business goals

Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation

Lead the development, deployment and monitoring of Gen AI / ML models with a strong focus on MLOps, operational scalability and model lifecycle management

Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement

Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams

Ensure AI solutions are fair, explainable and aligned with responsible AI practices

Work closely with legal and compliance teams to navigate industry regulations

Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes

Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs / RFIs

Able to act as a diving force in developing and expanding the Middle East Practice footprint in partnership with the wider Data leadership teams

Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications

Strong understanding of AI / ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit

Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools

Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability

Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders

Familiarity with AI regulatory frameworks

Experience in pre-sales or supporting sales teams

Arabic speaking skills is an advantage

We offer

General Organization for Social Insurance (GOSI)

Private healthcare and life insurance

End of service gratuity

Annual air travel tickets for expatriates

Corporate Programs including Employee Referral Program with rewards

Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more

• All benefits and perks are subject to certain eligibility requirements

Requirements

Bachelor's or Master's or PhD in Computer Science, Data Science, Statistics or a related field or extensive relevant work experience

Extensive experience in data science leadership roles with demonstrable impact across various industries.

Experience in IT consulting is highly desirable

EPAM is driving digital transformation across the Middle East and we’re expanding our Data Practice in Saudi Arabia to meet the rising demand for cutting-edge Generative AI (Gen AI) and advanced data solutions.

We are looking for an experienced Principal (Director) Data Science Consultant Practice Lead with a strong focus on Gen AI applications across industries. In this role, you will design, deploy and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape.

If you are passionate about leveraging AI to solve complex business challenges and create real impact, we invite you to join us in shaping the future of AI-driven innovation.

The role offers exciting opportunities to play a highly visible role in partnership with the wider European data leadership teams to drive growth in the region.

Responsibilities

• Provide technical leadership and strategic direction expertise with clients across industries to define and execute Gen AI strategies that align with their business goals
• Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation
• Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability and model lifecycle management
• Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement
• Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams
• Ensure AI solutions are fair, explainable and aligned with responsible AI practices
• Work closely with legal and compliance teams to navigate industry regulations
• Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes
• Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs/RFIs
  
  
  

• Bachelor's or Master's or PhD in Computer Science, Data Science, Statistics or a related field or extensive relevant work experience
• Extensive experience in data science leadership roles with demonstrable impact across various industries. Experience in IT consulting is highly desirable
• Able to act as a diving force in developing and expanding the Middle East Practice footprint in partnership with the wider Data leadership teams
• Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications
• Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit
• Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools
• Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability
• Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders
• Familiarity with AI regulatory frameworks
• Experience in pre-sales or supporting sales teams
• Arabic speaking skills is an advantage
  
  
  

• General Organization for Social Insurance (GOSI)
• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• *All benefits and perks are subject to certain eligibility requirements

• Seniority level Director

• Employment type Full-time

• Job function Business Development, Information Technology, and Engineering
• Industries Software Development and IT Services and IT Consulting

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Physical Science and Engineering Division

Organisation/Company KAUST Department Physical Science and Engineering Division Research Field Geosciences » Geology Geosciences » Other Mathematics » Statistics Mathematics » Other Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3) Positions Postdoc Positions Country Saudi Arabia Application Deadline 31 May 2026 - 23:59 (Asia/Riyadh) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jun 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Professor Max Frenzel is currently recruiting for a 2-year Post-doc position (extendable) to join the new Mineral Exploration and Exploitation Group at KAUST. The focus of the position will be on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits. These workflows will then be applied in relevant Saudi Arabian contexts to help discover new ore deposits.

The position will combine techniques from geological modelling, geostatistics, machine learning, and potentially geophysics (inversion) to develop new exploration targeting methods. These will be designed to make the most of the excellent outcrop conditions in Saudi Arabia, which means that a particular focus will be placed on the use of remote sensing data. Other relevant data types are geological maps, geophysical surveys (gravity, electromagnetic, seismic), and soil or stream sediment geochemistry. In terms of the application to specific regions in Saudi Arabia, the candidate will be free to choose their own case study(s). The willingness to collaborate closely with local exploration companies is expected.

Saudi Arabia is a fast-developing country offering unparalleled opportunities in mineral resources and other geoscience-related fields. In particular, the recent opening of Saudi Arabia for international exploration companies has led to a substantial increase of activity in the mineral exploration sector. Given the great geological potential of Saudi Arabia for different types of mineral deposits, it is probably the country with the most exciting mineral exploration opportunities right now.

• Excellent coding skills in python, R, or another relevant language are expected, as demonstrated by previously completed projects.
• Strong candidates will also have a firm background in geostatistics, geospatial modelling, and/or data science.
• Excellent oral and written communication skills in English are required, as evidenced by a strong publication and conference presentation record.
• In addition, candidates should hold a driver’s licence or be willing to acquire one, and should be willing to undertake fieldwork.
• Experience in the mineral resource sector is desirable but not essential.
• Experience in conducting UAV surveys is desirable but not essential.
• A completed PhD is sufficient for appointment as a postdoctoral researcher. For appointment as a research scientist, additional research experience of at least 2 years is required in the relevant areas highlighted above.

English (C1 / IELTS 7.0 equivalent or better)

Level Good

Research Field Physics » OtherGeosciencesEngineering » Geological engineering Years of Research Experience None

The position will include a competitive salary based on the candidate’s qualifications and experience; benefits include medical and dental insurance, free housing on the KAUST campus, an annual travel allowance, 30 paid vacation days, and other generous benefits. KAUST is a vibrant and international community, with many opportunities for social, sporting, and learning activities outside of work.

The successful applicant will be associated with the new Mineral Exploration and Exploitation Group at KAUST. The group will commence work in August 2025. Its main aim is to contribute to the development of mineral resources in Saudi Arabia by developing innovative approaches to mineral exploration, mining, and mineral processing. The working group will initially consist of 1 PhD student and 2 MSc students, but is projected to grow to 2 postdocs (incl. this positions), 3 PhD students, and a variable number of MSc students. In addition, KAUST provides a highly collaborative research environment, and active engagement of the holder of the position in collaborative activities within and outside of the research group will be strongly encouraged and supported.

Eligibility criteria

Applicants must hold a PhD degree in a relevant discipline, as listed above, and must demonstrate fluency in English in writing, speaking and listening at the indicated level

Selection process

Received applications will be reviewed and suitable candidates interviewed on a rolling basis, starting from June 1, 2025.