515 Machine Learning jobs in Saudi Arabia

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.

#J-18808-Ljbffr

3 weeks ago Be among the first 25 applicants

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
  
  

Requirements

• 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
  
  

Preferable Certificates:

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

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

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

Referrals increase your chances of interviewing at SWATX by 2x

Sign in to set job alerts for “Data Science Manager” roles. Senior Manager - Advanced Analytics (COR - 623) Lead/ Staff Data Scientist (Bangkok based, relocation provided) Senior Data Scientist (Bangkok based, relocation provided) Lead DS (Data Scientist) Bangkok based, Relocation provided

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

**A Data Science Specialist** is meant to manage, analyze, and summarize the information innovatively, and we are looking for such an expert for our partner. The Data Since Specialist will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different models and analytical solutions.

**Responsibilities**:
**Policies, Processes & Procedures**
- Recommends improvements to departmental policy and directs the implementation of procedures and controls covering all areas of EBIA activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service to customers

**Day-to-day operations**
- Perform the day-to-day activities of the Modelling & Data mining department and ensure that work processes are implemented as designed and comply with established policies, processes, and procedures

**Modelling & Data Science Management**
- Work with organizational stakeholders to identify opportunities for leveraging company data to drive business solutions.
- Work with stakeholders to define their Business and strategy requirements and translate them into analytical and technical requirements.
- Mine and analyze data from company databases to optimize product development, marketing techniques, and business strategies.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
- Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
- Develop the bank A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Conduct adequate research, analysis, and studies to leverage support and assistance from different departments and users.
- Develop, implement, and maintain Data mining models.
- Support all Customer Strategies and initiatives by providing insights for (Customer Intelligence - Marketing Optimization, Segmentation, Profiling, Loyalty, Retention, Profitability, and Risk Management for Basel II requirements, Credit Scorecard, AML, and Fraud Prevention).
- Participate in the mission of improving the data quality and EDW adoption
- Perform detailed data analysis on complex business questions using different sources of information and provide written or verbal reports to internal users to drive business decision-making and assess strategy performance
- Help internal users to set up analytical reports and dashboards that will meet their business requirements
- Participate in enhancing the adoption of Data mining initiatives in the Bank
- Provide guidance and consultancy on using Analytical and Data mining tools
- Deliver or participate in presentations on new products/services, ongoing process improvement efforts, and/or operational initiatives
- Collaborate with the Business Data Management team to adapt and improve processes and capabilities to meet business objectives, including database development initiatives
- Assess and validate data
- Examine overall customer behavior and, through analysis, provide recommendations to improve the customer experience.
- Participate in various stages of insight deployment related to customer communications, promotions, assortment, and pricing.
- Provide advice on campaign design, particularly the use of control groups, and produce post-analysis
- Guide to contact management.
- Guide use of the Customer Insight database with business users through ongoing communication and training
- Participate in maintaining the metadata dictionary’s contents and add new contributions to it. Help to develop meaningful metrics and targets and measure actual Bank results
- Train stakeholders and other members of the team on how to effectively access and use the analytical reports

**Communication and Transfer of Knowledge**
- Collaborates with the business units to gather their Modelling & Data mining requirements, understands their business objectives, and develops a close working relationship with them
- Ensure that gained knowledge is distributed among Data Mining team members as well as other BIM members whenever required.
- Assess and help team members leverage their knowledge to higher levels utilizing expert knowledge and available BI tools.

**Continuous Improvement**
- Contributes to the identification of opportunities for continuous improvement of processes and practices taking into account ‘international best practice’, improvement of business processes, cost reduction, and productivity improvement
- Explore new technologies and methods and improve the bank’s implemented models accordingly

**Reporting**
- Help internal users set up analytical reports and dashboards to meet their business requirements
- Train stakeholders and other members of the team on how to effectivel

Overview

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals


• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning


• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights


• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency


• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges


• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies


• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth


• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field


• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams


• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)


• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies


• Proven track record of successfully leading and delivering large-scale data science projects that drive business value


• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses


• Strong project management skills and ability to lead teams in a fast-paced environment


• Excellent analytical and strategic thinking skills, with a focus on results


• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic

Preferable Certificates

• 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

Get notified about new Data Science Manager jobs in Riyadh, Riyadh, Saudi Arabia.

Related jobs

• Senior Manager - Advanced Analytics (COR - 623)


• Data Scientist - QuantumBlack, AI by McKinsey


• Lead/ Staff Data Scientist (Bangkok based, relocation provided)


• Senior Data Scientist (Bangkok based, relocation provided)


• Lead DS (Data Scientist) Bangkok based, Relocation provided

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Adjunct/Visiting Faculty Position - Data Science

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:

1. 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:

1. PhD or equivalent degree in data science or similar discipline and strong teaching, research, and service record.

#J-18808-Ljbffr

We’re looking for a **Data Science & ML Team Lead** to manage the enterprise predictive Modelling, Data Mining, and Data Science function for the bank

**Responsibilities**:
**Strategy**
- Contributes to the development of divisional strategy and ensures translation and alignment during the development and monitoring of departmental strategy, including objectives, targets, and initiatives
- Working closely with other departments to devise their analytics strategy and assisting in executing it. E.g., Digital Banking department

**Policies, Processes & Procedures**
- Recommends improvements to departmental policy and directs the implementation of procedures and controls covering all areas of EBIA activity so that all relevant procedural/legislative requirements are fulfilled while delivering a quality, cost-effective service to customers

**Day-to-day operations**
- Supervises the day-to-day activities of the Modelling, Data Science, and Artificial Intelligence Department to ensure that work processes are implemented as designed and comply with established policies, processes and procedures

**Modeling & Data Science Management**
- Develop, implement, and maintain Data mining models
- Conduct statistical analysis of the Customer Insight Solution (CIS) database and insights in response to identified analytic projects
- Support all Customer Strategies and initiatives by providing insights for (Customer Intelligence - Marketing Optimization, Segmentation, Profiling, Loyalty, Retention, Profitability and Risk Management for Basel II requirements, Credit Scorecard, AML and Fraud Prevention)
- Participate in enhancing the adoption of Data mining initiatives in the Bank
- Provide guidance and consultancy on using Analytical and Data mining tools
- Deliver or participate in presentations on new products/services, ongoing process improvement efforts, and/or operational initiatives
- To manage, analyze, and summarize the information innovatively and collaborate with the CRM team, reporting team, segmentation managers, product managers, Risk, marketing and sales departments; to perform the required Data science and predictive models to provide the necessary insights.

**Transfer of Knowledge & Communication**
- Ensures the collaboration and communication with the EBIA team to automate the production and publication of business unit’s standard and approved analyses and Performance Management information (KPIs, Dashboards, Strategy Maps, etc.)
- Works closely with business units to identify business unit standard/approved analytical processes and analyses
- Collaborates with the business units to gather their Modelling & Data Science requirements, understands their business objectives, and develops a close working relationship with them
- Works with BI Advisory, Applied Practices, and BI & Reporting Teams for the Business Champions incubation program to know more about the EBIM and the BI Environment in the bank

**Change Management**
- Participates with change management in assessing the impact of introducing changes to people, processes, and systems and develops relevant communication and awareness initiatives to support the effective implementation of change
- Provide coaching to promote the adoption of insights and related tools delivered through the Customer Insight Solution (CIS) database

**Reporting**
- Help internal users to set up analytical reports and dashboards that will meet their business requirements
- Train stakeholders and other members of the team on how to effectively access and use the analytical reports

**Committees & Meetings**
- Represents the function and actively contributes in various committees/meetings (internal and external) as applicable and per authority levels to ensure relevant matters are dealt with in a timely and efficient manner

**People Management**
- Ensures all staff have clear objectives, regular performance feedback sessions, formal annual appraisals, and individual development plans, with particular emphasis on the development of talented Saudi national staff
- Ensures and facilitates the employment, training, and development of Saudi nationals within the organization

**Safety, Quality & Environment**
- Ensures compliance with all relevant safety, quality, and environmental management policies, procedures, and controls across the department to guarantee employee safety, legislative compliance and a responsible environmental attitude

**Related Assignments**
- Performs other related duties or assignments as directed

**Requirements**:

- Master’s degree in statistics, computational linguistics, computer science, or related quantitative methods plus
- 8 years of data analysis and reporting experiences
- 5 years of experience in the Banking industry, including knowledge of CRM, marketing, and strategy support
- Preferably Arabic and English speaker

**Technical knowledge areas**:

- Understanding of the bank’s strategy, objectives, products and services
- Understanding t

Join to apply for the Data Science Consultant – Gen AI Specialist role at EPAM Systems .

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 Data Science Consultant with a strong focus on Gen AI applications across industries but with a strong preference for the oil and gas industry. 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.

Responsibilities

• Partner 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 and other emerging AI governance frameworks
• 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

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics or a related field; Ph.D. is a plus
• Extensive experience in data science roles with demonstrable impact across the Oil and Gas industry; experience in IT consulting is highly desirable
• 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 and other relevant compliance standards

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

Seniority level

• Associate

Employment type

• Full-time

Job function

• Business Development, Information Technology, and Engineering

Industries

• Software Development and IT Services and IT Consulting

#J-18808-Ljbffr

Press Tab to Move to Skip to Content Link

Adjunct/Visiting Faculty Position - Data Science

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.

#J-18808-Ljbffr

Data Science Associate Instructor - Full Time - Onsite - This is an **Onsite position** to teach students in **Riyadh, Saudi Arabia.**

Associate Instructors (formally called backup instructors) are expected to be present and attentive as if they are the lead instructor for the classroom. They are responsible for monitoring multiple classrooms and assisting the lead instructor as necessary. In the event of an emergency or complications causing the lead instructor to miss a class - the associate instructor should expect to take over the classroom for that day/hour and run the class as if they were the lead instructor. During this time, the associate instructor becomes the lead instructor.

**RESPONSIBILITIES**:

- Reviewing lecture content and preparing to instruct the class if needed (daily)
- Taking attendance (if TA is not present, daily)
- Assisting with the morning session (daily)
- Assisting with the afternoon session (daily)
- Moving through online breakout rooms to assist students (daily)
- Reviewing and leaving feedback on assignments (daily)
- Deliver instruction on data science, data analytics, machine learning, Python, SQL, statistics, probability, and data engineering
- Facilitate group discussions, demos, and in-class activities
- Follow industry trends in big data, deep learning, machine learning, and AI
- Play a hands-on role in curriculum development, use what you learn from working with students to make the curriculum world-class
- Gather and report on student metrics
- Work alongside Coding Dojo’s Online Instruction team to deliver remote training.
- Participate in professional training, so you stay fresh!
- Responsible for potential deployment with any/multiple Coding Dojo clients on the B2B side of things
**EDUCATIONAL AND EXPERIENCE REQUIREMENTS**:

- Proficiency in data science and machine learning experience
- 3+ years working in a data science role (Data Management, Governance, Instructor, Scientist, or Analyst)
- Masters or Ph.D. in Data Science, Engineering, Mathematics, Statistics, or a related degree from an accredited college or university.
- Substantial experience may be substituted for education requirement and will be reviewed on a case by case basis.
**ABOUT CODING DOJO**
Coding Dojo is a global education technology company that offers a three-full-stack computer programming bootcamp, as well as courses on Data Science and other emerging technologies. The innovative curriculum and Learning Management System are designed to train students to become self-sufficient developers, regardless of their technical background. We also make it a mission to support underserved communities and increase diversity in the tech industry.

This position is a rare opportunity to join a rapidly growing company and make a positive impact in many people's lives. At Coding Dojo we pride ourselves on possessing a culture of execution that caters to wave makers rather than wave riders. If you're interested in joining a diverse and dynamic team who value speed, continuous improvement, measurement, focus, accountability, and always attacking the gap, you'll feel right at home at Coding Dojo.