2 503 Data jobs in Saudi Arabia

Responsible for defining and leading the bank's enterprise data architecture to ensure alignment with digital transformation objectives, regulatory requirements, and data governance standards.

This role ensures data structures, integrations, and flows across the organization are optimized for scalability, security, and business intelligence enablement.

Key Responsibilities:

• Design and implement the enterprise data architecture framework, ensuring models, integrations, and standards are scalable, secure, and aligned with the bank's strategy.
• Lead the development and maintenance of conceptual, logical, and physical data models across enterprise domains, ensuring alignment with regulatory and business requirements.
• Oversee data flow design and governance, including integrations and APIs, to ensure accessibility and consistency of information across systems.
• Collaborate with business, IT, and data management teams to ensure architecture supports analytics, business intelligence, and data-driven decision-making.

Requirements

Bachelor's degree in Computer Science, Information Technology, or related field (Master's preferred).

5 years of experience in data architecture, modeling, and integration within banking or financial services.

Strong knowledge of data architecture frameworks (e.g., TOGAF, DAMA-DMBOK).

Experience with Azure Data Services, Snowflake, Informatica, or equivalent platforms.

Deep understanding of data governance, data quality, and metadata management.

Familiarity with regulatory data standards (SAMA, Basel, IFRS9).

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.

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

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 Financial Services Regulatory Authority (FSRA) in Abu Dhabi Global Market.

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.

• 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 bring 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

• 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

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.

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

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Overview

Join to apply for the Data Science Manager - Riyadh role at Mozn .

Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science, headquartered in Riyadh, Saudi Arabia. Mozn focuses on realising Vision 2030 and supports the tech ecosystem in Saudi Arabia and the GCC. Mozn is the trusted AI technology partner for government organisations as well as large corporations and startups. We are scaling to provide AI-powered products and solutions locally and globally to drive growth and impact.

• 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 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.

• 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 expanding AI space.
• You will be given responsibility and trust; we believe the best results come when the people responsible for a function are empowered to act.
• Competitive compensation, top-tier health insurance, and an enabling culture to focus on what you do best.
• A fun and dynamic workplace alongside some of the brightest minds in AI.
• We value diversity and empower everyone to be the best version of themselves.

• Seniority level : Mid-Senior level
• Employment type : Full-time
• Job function : Engineering and Information Technology
• Industries : Software Development

Referrals increase your chances of interviewing at Mozn. Get notified about new Data Science Manager jobs in Riyadh, Riyadh, Saudi Arabia.

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.

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

Posted On: Wednesday, October 15th, 2025

Description

Job Summary:

The Controlled & Narcotic Drug Data Entry Clerk is responsible for accurately recording, maintaining, and monitoring all transactions related to controlled and narcotic drugs in compliance with hospital policies, Ministry of Health (MOH) regulations, and other relevant legal requirements. The role ensures proper documentation, traceability, and reporting to support safe and effective medication management.

Key Responsibilities:

• Accurately enter all controlled and narcotic drug transactions (receiving, dispensing, returns, destruction) into the approved system and logbooks.
• Maintain and update daily narcotic balance records in accordance with MOH and hospital policies.
• Ensure that all entries are verified and signed by the authorized personnel.
• Coordinate with pharmacy staff, nursing units, and controlled drug custodians to reconcile records regularly.
• Generate daily, weekly, and monthly reports related to controlled and narcotic drugs.
• Support internal and external audits by providing accurate data and required documentation.
• Report any discrepancies or unusual activities immediately to the Narcotic Officer / Pharmacy Manager.
• Assist in maintaining strict security and confidentiality of controlled drug records.
• Participate in training and ensure full compliance with legal and institutional guidelines.

Requirements

Qualifications and Requirements:

• Bachelor's degree in Pharmacy or a related healthcare field.
• Minimum 1 year of experience in pharmacy or medical data entry (preferred experience with narcotic and controlled drugs).
• Familiarity with MOH regulations related to controlled substances.
• Proficiency in computer systems and data entry software.
• Excellent attention to detail, accuracy, and organizational skills.
• Ability to work under pressure and maintain confidentiality.

Skills and Competencies:

• Strong communication and coordination skills.
• High level of accuracy and accountability.
• Knowledge of pharmaceutical terminology and documentation standards.
• Ability to work effectively in a team and with minimal supervision.
• Strong ethical and compliance mindset.

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