802 Data Team jobs in Saudi Arabia

Arthur Lawrence is urgently looking for a Manager - Data Engineering for a client in Riyadh, KSA. Kindly review the job requirements below. Your immediate application will enable us to place you successfully.

• Minimum 10 years of proven experience in data management within the banking sector
• Skilled in big data technologies like Hadoop, Spark, Kafka, Impala, Nifi, and Hive
• Proficiency in implementing data governance policies, developing data processing and storage solutions
• Must be fluent in Arabic and English

• Bachelor’s degree in computer science, IT, or equivalent

• Winner of Entrepreneur 360 Award (2019)
• IAOP Award; Ranked in the top 100 internationally
• Arthur Lawrence ranked within the Inc 5000 twice in 2016 and 2017 as one of the fastest-growing companies in America
• Named one of the top ten fastest-growing businesses in Houston in 2016
• Ranked 25th in the HBJ's Fast 100 Private Companies Award in 2017

Company Description

is a Saudi-based company at the forefront of the healthcare technology sector, specializing in advanced artificial intelligence. Our mission is to revolutionize healthcare by transforming standard Hospital Information Systems (HIS) and Electronic Health Records (EHR) into dynamic, intelligent systems. We provide real-time, evidence-based clinical support to align with the healthcare goals of Saudi Arabia's Vision 2030, enhancing patient outcomes and supporting medical professionals.

Role Description

This is a full-time online role for a Data Science Specialist located in Jeddah. The Data Science Specialist will be responsible for analyzing large datasets, developing statistical models, conducting data analysis, and utilizing data science techniques to extract insights. Day-to-day tasks include data analytics, developing data-driven solutions to improve patient outcomes, and collaborating with cross-functional teams to implement AI-driven healthcare solutions.

Qualifications

• Analytical Skills and Data Analysis skills
• Expertise in Data Science and Data Analytics
• Strong Statistics knowledge
• Proficient in programming languages such as Python or R
• Experience with machine learning algorithms and data visualization tools
• Excellent problem-solving and communication skills
• Ability to work collaboratively in a team environment
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
• Experience in the healthcare industry is a plus

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.

Role Overview

HUMAIN is seeking a
Data Center Engineering Architect
to lead the master planning, scalability, and architectural design of AI-enabled data centre facilities, ensuring resilient, sustainable, and future-ready infrastructure optimized for artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) workloads. The role integrates advanced design practices to deliver facilities capable of supporting GPU/TPU clusters, low-latency interconnects, modular expansions, and advanced cooling systems, enabling the organization to remain at the forefront of AI data infrastructure delivery.

Key Responsibilities

People Management

• Manage the achievement of objectives by setting individual objectives, managing performance, developing staff, and providing formal and informal feedback to maximize overall performance and engagement.
• Manage and guide multidisciplinary design teams by providing architectural leadership and technical oversight, ensuring that all contributors remain aligned with the organization's vision for AI-ready infrastructure.
• Mentor junior architects and engineers to develop expertise in AI data centre design, cultivating a culture of continuous learning, innovation, and technical excellence.

Project Governance and Methodology

• Establish and maintain architectural design frameworks, governance models, and best practices tailored to the requirements of AI and HPC workloads, ensuring designs are scalable, modular, and compliant with international standards.
• Ensure that architectural processes integrate risk management, regulatory compliance, and sustainability objectives while enabling rapid delivery of large-scale AI Data Centre projects.

Design Execution Oversight

• Lead the development of conceptual and detailed designs for multi-building AI campuses, ensuring that facilities integrate critical systems such as GPU/TPU clusters, advanced cooling solutions, and resilient power networks.
• Validate design deliverables against organizational priorities for resilience, efficiency, sustainability, and scalability to ensure operational excellence in AI infrastructure.
• Oversee the integration of architectural, mechanical, electrical, and IT systems to deliver cohesive and future-ready facilities.

Reporting

• Develop comprehensive reporting frameworks that provide visibility into architectural progress, risks, and opportunities, with a focus on AI infrastructure readiness and scalability.
• Deliver detailed updates and actionable insights to senior management and stakeholders, supporting data-driven decision-making across the organization.

Quality Assurance

• Implement and enforce robust QA/QC processes to ensure that architectural deliverables meet the highest standards of quality, resilience, and compliance.
• Conduct structured design reviews and benchmarking exercises, ensuring alignment with global best practices for AI and hyperscale data centre facilities.

Safety, Quality & Environment

• Integrate environmental responsibility and safety compliance into every design stage, embedding green building standards such as LEED and BREEAM into all architectural projects.
• Balance the performance density of AI workloads with carbon efficiency, water stewardship, and long-term sustainability objectives.

Continuous Improvement

• Research emerging innovations in AI data centre design, including modular construction, liquid cooling, and digital twin simulation, and incorporate them into design processes.
• Drive continuous improvement of systems, tools, and workflows to enhance scalability, cost efficiency, and sustainability across architectural projects.

Policies, Processes & Procedures

• Ensure that all architectural workflows align with corporate governance frameworks, risk management standards, and international codes, reducing compliance risk and ensuring operational integrity.

MIS & Reports

• Prepare timely and accurate reports, blueprints, and technical documents to support AI infrastructure deployment, serving as a critical input for decision-making and stakeholder communication.

Related Assignments

• Perform other related duties or assignments as directed to support business objectives.

Required Qualifications

• Bachelor's degree in architecture, Civil/Structural, or Mechanical/Electrical Engineering (Master's preferred).
• 12+ years of experience in data centre or critical facility design, with at least 5 years in a leadership role.
• Proven experience designing facilities optimized for AI, HPC, or hyperscale cloud computing workloads.
• Deep expertise in Data Centre Master Planning, critical infrastructure design, and AI-capable system integration.
• Strong understanding of liquid cooling, chip-to-chiller integration, and high-density power distribution.
• Familiarity with sustainability frameworks (LEED, BREEAM) and AI-related regulatory standards.
• Skilled in digital tools such as BIM, Revit, and AI-driven design optimization platforms.

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

Responsibilities:

• Manage data processes to guarantee the accuracy, consistency, and accessibility of information throughout the organization
• Track data health and performance indicators to spot opportunities for enhancement
• Ensure adherence to data privacy laws and security protocols
• Assist clients in developing comprehensive data strategies, encompassing data architecture, quality assurance, and governance frameworks
• Ensure data compliance with both local and international regulations
• Capable of establishing overarching frameworks for the execution of these programs, which includes identifying business requirements,
• tracking the advancement of these initiatives, and providing recommendations for improvements
• Competent in conducting assessments of data management compliance and producing reports on the findings
• Create and uphold a data catalog along with data value realization plans, while overseeing their execution
• Oversee the development and implementation of plans related to business intelligence and analytics, reference and master data management, data architecture and modeling, document and content management, as well as data operations
• Design a template for the data catalog, which includes a data dictionary and a business glossary
• Create relevant templates for data value realization, such as pricing model templates and charging model templates
• Skilled in developing and modifying data
• Review artifacts related to data architecture

Requirements
Bachelor degree in Business or Information Technology

• Advanced knowledge in data management and governance

products

• Ability to lead data management team
• Knowledge of alignment with strategic and operational
• Knowledge of relevant technical and national controls and

standards and the ability to apply them

• Good communication and building relationships skills
• Ability to assess compliance and prepare the required reports
• Proficiency in statistics, data analysis, and research methods

Certified Data Management Professional (CDMP)

Benefits
Why Join Us:

Opportunity to work with a talented and passionate team.

Competitive salary and benefits package.

Exciting projects and innovative work environment.

• Manage data processes to guarantee the accuracy, consistency, and accessibility of information throughout the organization.
• Track data health and performance indicators to spot opportunities for enhancement.
• Ensure adherence to data privacy laws and security protocols.
• Assist clients in developing comprehensive data strategies, encompassing data architecture, quality assurance, and governance frameworks.
• Ensure data compliance with both local and international regulations.
• Capable of establishing overarching frameworks for the execution of these programs, which includes identifying business requirements,
• tracking the advancement of these initiatives, and providing recommendations for improvements.
• Competent in conducting assessments of data management compliance and producing reports on the findings.
• Create and uphold a data catalog along with data value realization plans, while overseeing their execution.
• Oversee the development and implementation of plans related to business intelligence and analytics, reference and master data management, data architecture and modeling, document and content management, as well as data operations.
• Design a template for the data catalog, which includes a data dictionary and a business glossary.
• Create relevant templates for data value realization, such as pricing model templates and charging model templates.
• Skilled in developing and modifying data.
• Review artifacts related to data architecture.

Requirements

Bachelor degree in Business or Information Technology

• Advanced knowledge in data management and governance

products

• Ability to lead data management team
• Knowledge of alignment with strategic and operational
• Knowledge of relevant technical and national controls and

standards and the ability to apply them

• Good communication and building relationships skills
• Ability to assess compliance and prepare the required reports
• Proficiency in statistics, data analysis, and research methods

Certified Data Management Professional (CDMP)

Benefits

Why Join Us:

Opportunity to work with a talented and passionate team.

Competitive salary and benefits package.

Exciting projects and innovative work environment.

In a world of possibilities, pursue one with endless opportunities. Imagine Next

When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with intelligent, diverse people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for.

Job Description
Parsons is seeking a highly skilled and experienced
Data Management / Analytics Expert
to join our transportation technology team on a high-profile project in Saudi Arabia. This role is pivotal in leveraging big data to drive insights and optimizations for traffic management systems, enabling data-driven decision-making in large-scale urban transportation projects. The ideal candidate will have deep expertise in transportation data analytics, big data processing, visualization tools, and statistical analysis to support scalable solutions for traffic optimization.

What You'll Be Doing

• Design and implement data management strategies for transportation datasets, including ingestion, processing, and storage of traffic, sensor, and mobility data from diverse sources (e.g., ITS systems, APIs, sensors).
• Develop advanced analytics workflows to process big data, applying statistical models and machine learning techniques to derive insights for traffic flow, congestion prediction, and optimization.
• Build and maintain visualization dashboards and tools (e.g., using Tableau, Power BI) to present complex transportation data in actionable formats for stakeholders.
• Implement data-driven solutions for traffic optimization, such as real-time analytics for adaptive signal control, predictive modeling for demand management, and performance evaluation of transportation systems.
• Ensure data quality, reliability, and compliance through validation frameworks, anomaly detection, and integration with transportation-specific standards.
• Collaborate with traffic engineers, ITS specialists, and project stakeholders to translate data insights into operational improvements and policy recommendations.
• Mentor team members on analytics best practices and contribute to continuous improvement in data handling and analysis methodologies.

What Required Skills You'll Bring

• Bachelor's or Master's degree in Data Science, Computer Science, Transportation Engineering, or a related field.
• 10+ years of experience in transportation data analytics, data management, or related fields.
• Expertise in big data processing technologies (e.g., Hadoop, Spark) and visualization tools (e.g., Tableau, Power BI).
• Proficiency in statistical analysis, Python/R for data modeling, and SQL for querying large datasets.
• Experience implementing data-driven traffic optimization solutions, including predictive analytics and simulation-based insights.
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

What Desired Skills You'll Bring

• Experience with transportation-specific tools (e.g., SYNCHRO, VISSIM for traffic simulation integration) and real-time data processing (e.g., Kafka, Spark Streaming).
• Familiarity with data governance, security, and compliance in public sector transportation projects.
• Certifications in data analytics (e.g., Google Data Analytics, Microsoft Certified: Azure Data Scientist) or transportation-related fields.

Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.

We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars Imagine next and join the Parsons quest—APPLY TODAY

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