24 Data Science Intern jobs in Saudi Arabia

About Mozn
Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it's working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organisations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

About The Role
We are seeking a
*Data Science Manager *
to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You'll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.

What You'll Do

• Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
• Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
• Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
• Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
• Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
• Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
• Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
• Attract, develop, and retain top data science talent.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
• Proven experience developing and deploying data science solutions in production environments.
• Broad knowledge of machine learning, statistical modeling, and data analysis.
• Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
• Experience working with large, real-world datasets (structured and unstructured).
• Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
• Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
• Proficiency in Arabic is preferred.
• Demonstrated ownership, collaboration, and commitment to excellence.

Benefits
*Why Mozn? *

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust. 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.
• 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.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it’s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organisations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

About the role

We are seeking a Data Science Manager to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You’ll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.

What you'll do

• Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
• Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
• Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
• Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
• Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
• Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
• Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
• Attract, develop, and retain top data science talent.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
• Proven experience developing and deploying data science solutions in production environments.
• Broad knowledge of machine learning, statistical modeling, and data analysis.
• Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
• Experience working with large, real-world datasets (structured and unstructured).
• Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
• Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
• Proficiency in Arabic is preferred.
• Demonstrated ownership, collaboration, and commitment to excellence.
• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust. 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.
• 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.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.

Who Are We

HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.

HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments, HALA Cashier and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.

Founded in 2017, HALA is currently duly licensed by the Saudi Arabian Central Bank as well as the Financials Services Regulatory Authority (FSRA) in Abu Dhabi Global Market.

About the Role

We're hiring a Data Scientist with 1-2 years of experience to help shape the future of AI and ML at HALA. You'll be working closely with leadership to define the roadmap, uncover high-impact use cases, and develop models that drive real business value.

This role is ideal for someone who enjoys the challenge of building from the ground up—bringing structure, experimentation, and vision to a space full of potential.

What You'll Do

• Support and Contribute to the ML Roadmap
  : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
• Prototype & Scale
  : Propose, design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
• Cross-Functional Collaboration
  : Work hand-in-hand with teams across the company to deeply understand their challenges and co-create solutions that leverage data

What You Bring

• Strong Python and SQL skills, and experience with ML libraries like scikit-learn, XGBoost, LightGBM, or similar
• A strategic mindset: you're comfortable identifying business opportunities, prioritizing impact, and navigating ambiguity
• Clear communication and storytelling skills. You can turn data into action and rally teams around your ideas
• Experience (or interest) in working on use cases like credit scoring, fraud detection, or customer lifecycle modeling is a big plus
• Willingness to keep an open mind and learn on the job

Why Join Us?

You'll be joining a leading FinTech that's growing quickly—and we believe data will play a critical role in that growth. As an early member of the data science team, you'll have the autonomy to explore, the support to execute, and the opportunity to shape how machine learning creates value across the organization.

What We Offer You
We believe you will love working at HALA

• We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
• We offer highly competitive compensation packages, including the potential for shares.
• We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
• Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
• We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
• You will be given a lot of responsibility and trust. 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.

If you think you have what it takes to join a remarkable team #apply_now

Role Purpose

To lead a team of data scientists within the Analytics Department in order to develop advanced machine learning models, deliver actionable insights through corporate reporting, and oversee the creation of predictive models, advanced analytics, and data visualizations within the set KPIs, agreed budgets, and adopted policies and procedures.

Responsibilities for Internal Candidates

Key Accountability Areas

Key Activities

Operational Management

• Lead, mentor, and develop a team of data scientists
• Actively participate in on-the-job training, mentoring and coaching of subordinates
• Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
• Promote a high-performance working environment embracing SANS's values
• Conduct regular performance reviews and provide coaching to team members
• Identify skill gaps and organize training programs to enhance team capabilities
• Provide recurring productivity reports on department progress and projects pipeline.
• Recruit, onboard, and retain top talent for the data science section

Budget Management

• Develop and manage budget and supporting business cases for the data science and reporting section including ML operations infrastructure.
• Justify budget requests to senior leadership by demonstrating the ROI of data science and analytics initiatives.
• Develop and negotiate contracts with tooling, infrastructure and service providers to optimize costs and service quality

Stakeholder and C-Suite Communication

• Generate and present regular operational and corporate performance insights and reports to senior leadership.
• Translate complex technical findings into actionable insights and strategic recommendations for non-technical audiences.
• Facilitate collaboration with IT and engineering stakeholders to ensure data science infrastructure needs are realized
• Build strong relationships with cross-functional teams to ensure alignment and collaboration on data-driven initiatives.
• Educate stakeholders on data science best practices.

Data science and ML products management

• Conducting discovery meetings to collect, analyze, clarify and document business requirements for data science and corporate reporting.
• Establish and monitor value metrics encompassing the full cycle of envisaged and developed data science products
• Continuously identify opportunities for data science products where value can be added to the business domain.
• Ensure that machine learning models and analytics solutions are scalable, reliable, and aligned with business needs.
• Manage advanced analytics workload including A/B and multivariate experiments, design and implement exploratory analysis and insight generation, all in close collaboration with partners across the Data management directorate and business groups.
• Collaborate with engineering and IT teams to integrate data science products into existing systems and workflows.
• Oversee the analysis of corporate and operational workstreams to provide periodic descriptive reporting and on-demand Diagnosis on key observed patterns for decision making purposes.
• lead the development efforts for provision of descriptive, predictive and diagnostic analysis for relevant constituencies.
• Develop strategy and roadmap for data science products while ensuring that defined path is consistent with the enterprise vision.
• Lead iterative data science products development process from idealization, through the implementation stage and all the way to the launch.
• Develop plans for ML models features/services delivery defining business goals, timelines, and roadmaps.
• Partner with business functions leads to proactively explore and overcome business problems through quantitative analytics levering established data science solutions.
• Support corporate planning and strategy functions in researching and analyzing industry operational and data related trends and developing market diligence periodically through quantitative reports and aggregation of relevant data from premium online/offline sources.
• Oversee the team's execution of key technical activities including: Data exploration and pre-processing, statistical analysis and modeling, features engineering, models evaluation, data visualization and communication, and collaborative problem solving

Engineering management

• Participate in planning and executing workload related to deploying and expanding ML models hosting platforms at the back-end and front-end service layers
• Lead the deployment and configuration of developed data science solutions.
• Oversee the ML models development workload cadence includes establishment of and sustenance of devOPS and CICD practices and cadence, while ensuring engineering standards, including version control, code reviews, and testing protocols are maintained
• Develop, manage, and maintain engineering plans related to data science workload; work closely with enterprise and operations engineering teams.
• Implement agile methodologies and project management frameworks to streamline team operations and improve delivery timelines.
• Manage technical debt by prioritizing refactoring, documentation, and process improvements.

Policies, Processes and Procedures

• Support in monitoring day-to-day activities to ensure compliance with stipulated policies and procedures
• Contribute to the identification of opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement

People Management

• Actively participate in on-the-job training, mentoring and coaching of subordinates
• Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
• Promote a high-performance working environment embracing SANS's values

Qualifications for Internal Candidates

Knowledge and Experience

• Minimum 6 years of experience in Data Science & Reporting, preferably leading and managing teams of data scientists and data analysts and budget management, resource allocation, and vendor negotiations.

Desirable:

• Referenced hands-on experience: team lead or unit manager/supervisor managing the operations and services of a data science team in a technology or engineering organization.
• Math / Quantitative skills: Skills with creating simulations, Erlangs theory for capacity planning, Hypothesis testing, Linear Regression, Logistic Regression, Outliers Detection, Linear Algebra with knowledge of Matrices attributes, knowledge and application of GLM (Generalized Linear Model)
• Strong scripting skills (e.g., Python, Bash) and knowledge of coding for creating automation scripts and integrating tools , and SQL/SPARK, JAVA/SCALA, Hadoop stack, C/C + for scripting/development on distributed/unstructured systems, and big data technologies such as Spark for handling and processing large datasets , and Python or PyTorch, Tensorflow, KERAS, Scikit-learn, XGBoost or similar stack for data manipulation, analysis, and data science modelling implementation.
• Familiarity or Ability to work with task management tools (JIRA, Microsoft Azure DevOPS boards), and Microsoft power platform , and hands on experience with popular SaaS services for database, developer and analytics (GCP, AWS or Azure)

Education and Certifications

• Bachelor's Degree in Computer Engineering, Data Science, Computer science, Cybersecurity, Statistics, Engineering or equivalent is required.

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.

Machine Learning & AI Specialist

Location:
Dammam / Remote

Type:
Full-time

Objective:

Develop AI and computer vision solutions for fast and accurate item recognition and counting.

Responsibilities:

• Build and deploy computer vision models for SKU recognition in varied real-world settings.
• Implement 3D perception / Spatial Vision using
  LiDAR
  and other sensors for accurate mapping of items and shelves.
• Optimize models for on-device processing (mobile/tablet) to reduce latency.
• Integrate AI outputs with backend or ERP systems for real-time inventory updates.
• Preprocess, label, and manage datasets for training and testing models.
• Continuously monitor and improve model accuracy and performance.

Required Skills & Tools:

• Deep learning & computer vision (CNNs, 3D CNNs, object detection)
• Frameworks:
  TensorFlow, PyTorch, OpenCV
• On-device inference:
  TensorFlow Lite, ONNX, CoreML
• 3D sensing / LiDAR integration
• Data preprocessing, labeling, and model evaluation

Preferred:

• Augmented Reality (AR) for overlay information
• Self-supervised or semi-supervised learning techniques

Roles & Responsibilities:

• Design and implement machine learning models, algorithms, and deep learning applications and systems.
• Optimize and scale ML models for production.
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
• Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values.
• Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices.
• Document the machine learning development process and model performance for future reference and collaboration.
• Stay up to date with developments in the machine learning industry.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• At least 5 years of hands-on experience as machine learning engineer or similar role.
• Familiarity with Python, Java, C++, and R.

• Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning).
• Software Engineering Principles (version control, testing, DevOps).
• Cloud Computing Platforms (AWS, Azure, GCP) (often a plus).
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.

Role Overview

We are looking for a driven and experienced Machine Learning Engineer with strong

specialization in Computer Vision to join our AI team. This role involves developing high

performance computer vision solutions that power real-world applications across diverse

domains such as surveillance, retail analytics, document automation, inspections, and beyond.

You will contribute across the full lifecycle of model development. from problem definition to

deployment. working closely with multidisciplinary teams to transform business requirements

into scalable intelligent systems.

Role Summary

As a Machine Learning Engineer with a focus on Computer Vision, you will bridge research and

real-world deployment. Your mission is to transform complex visual data into actionable

intelligence, whether it's through real-time video analytics, document understanding, or

automated inspection. You will work cross-functionally to build, optimize, and scale machine

learning models that are robust, efficient, and impactful in operational environments.

Key Responsibilities

• Design and develop machine learning models tailored for image, video, or document

analysis tasks such as classification, detection, segmentation, or text extraction.

• Build and maintain robust end-to-end pipelines for data ingestion, preprocessing, model

training, validation, and deployment.

• Experiment with new algorithms and architectures to improve model performance and

adaptability across environments.

• Collaborate with hardware, software, and product teams to integrate vision models into

cloud-based and on-edge environments.

• Analyze performance metrics and continuously optimize models for accuracy, latency,

and resource efficiency.

• Support team members with code reviews, architecture planning, and research

explorations.

• Ensure models and pipelines follow best practices in versioning, testing, and

documentation.

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a

strong focus on machine learning or computer vision.

• 4–7 years of professional experience in designing and deploying ML solutions, with at

least 3 years focused on computer vision.

• Solid understanding of deep learning principles and core CV concepts such as image

transformations, feature extraction, and object recognition.

• Strong coding and debugging skills in a major programming language used in AI/ML

development.

• Experience in handling large-scale image/video datasets and building automated training

workflows.

• Ability to evaluate model performance using appropriate statistical and business metrics.

Preferred Qualifications

• Experience deploying models into production environments, both cloud-based and

edge-oriented.

• Familiarity with video processing, multi-modal data fusion, or document layout analysis.

• Background in solving real-world problems involving noisy data, low-resource

environments, or high accuracy demands.

• Exposure to annotation workflows, human-in-the-loop training, or active learning

setups.

• Strong communication skills, with ability to document findings, present solutions, and

collaborate across disciplines.

Role Description

This is a full-time, on-site role for a Machine Learning Engineer based in Dammam. The Machine Learning Engineer will be responsible for developing and implementing machine learning models, analyzing large datasets, and collaborating with cross-functional teams to enhance our gamified psychometric assessments. Day-to-day tasks include pattern recognition, data preprocessing, optimizing algorithms, and testing neural network models to enhance predictive accuracy and performance.

Qualifications

• Strong knowledge in Pattern Recognition and Statistics
• Proficiency in Computer Science concepts and Algorithms
• Experience with Neural Networks
• Excellent problem-solving and analytical skills
• Ability to work collaboratively in a team environment
• Bachelor's/Master's degree in Computer Science, Machine Learning, or a related field