15 Lead Data Scientist Quantumblack AI By Mckinsey jobs in Riyadh

Hungerstation is the first Saudi Food delivery App in the region! Established in 2012. Today Hungerstation enables you to browse the largest selection of restaurants and supermarkets in KSA that reach 35,000+ options.

In Hungerstation, we stand for our customers' satisfaction, partners’ loyalty and riders’ wellbeing, in addition to our expansion vision - always aiming higher and moving forward to the utmost levels of service platform.

Hungerstation is part of the Delivery Hero Group, the world’s leading local delivery platform operating in 70+ countries worldwide

Job Description

About the COOP Program:

At HungerStation, we believe in shaping the future by empowering the next generation of talent. Our COOP program is designed to provide students with a structured, hands-on learning experience that enhances their professional competencies and prepares them for successful careers.

Program Objectives:

• Offer real-world exposure in a fast-paced, innovative environment
• Support student development with meaningful projects and deliverables
• Equip students with tools, skills, and industry best practices relevant to their area of study
• Encourage continuous learning through mentorship, feedback, and performance evaluations
  
  

• Flexibility granted to accommodate academic commitments (e.g., reports, advisor meetings)
  
  

• Familiarity with Python, SQL, and data analytics tools
• Strong analytical thinking and problem-solving mindset
• Ability to handle and interpret large datasets
• Curiosity and eagerness to explore data
  
  

• Support ongoing data analytics projects
• Build dashboards and extract business insights
• Assist in data cleansing and visualization tasks
• Work on ad hoc analytical reports
  
  

• Data reports and dashboards
• Documentation of methodologies used
• Insights shared with key stakeholders
  
  

• Basic knowledge of cybersecurity principles and frameworks
• Good communication skills (written and verbal)
• Familiarity with risk assessment and security controls
• Passion for learning security GRC practices
  
  

• Support maintenance and enhancement of security policy & standards
• Assist in the rollout of security awareness and training programs
• Contribute to audit response and follow-up activities
• Participate in periodic security risk assessments
  
  

• Updated documentation for policies and audits
• Awareness materials
• Risk tracking dashboards or summaries
  
  

• Exchange ideas and meet 2000+ colleagues from different teams within Delivery Hero in our active guilds and through our global tech and product community.
• Develop your skills with your personal educational budget for conferences and external training.
• Access our e-learning platform LinkedIn and participate in our various in-house training programs
• And much more…

About the opportunity

About the COOP Program:

At HungerStation, we believe in shaping the future by empowering the next generation of talent. Our COOP program is designed to provide students with a structured, hands-on learning experience that enhances their professional competencies and prepares them for successful careers.

Program Objectives:

• Offer real-world exposure in a fast-paced, innovative environment

• Support student development with meaningful projects and deliverables

• Equip students with tools, skills, and industry best practices relevant to their area of study

• Encourage continuous learning through mentorship, feedback, and performance evaluations

Working Conditions:

• Flexibility granted to accommodate academic commitments (e.g., reports, advisor meetings)

What you need to be successful

DATA ANALYTICS ROLE

Skills Required:

• Familiarity with Python, SQL, and data analytics tools

• Strong analytical thinking and problem-solving mindset

• Ability to handle and interpret large datasets

• Curiosity and eagerness to explore data

Scope of Work:

• Support ongoing data analytics projects

• Build dashboards and extract business insights

• Assist in data cleansing and visualization tasks

• Work on ad hoc analytical reports

Deliverables:

• Data reports and dashboards

• Documentation of methodologies used

• Insights shared with key stakeholders

INFO SEC ROLE

Skills Required:

• Basic knowledge of cybersecurity principles and frameworks

• Good communication skills (written and verbal)

• Familiarity with risk assessment and security controls

• Passion for learning security GRC practices

Scope of Work:

• Support maintenance and enhancement of security policy & standards

• Assist in the rollout of security awareness and training programs

• Contribute to audit response and follow-up activities

• Participate in periodic security risk assessments

Deliverables:

• Updated documentation for policies and audits

• Awareness materials

• Risk tracking dashboards or summaries

Who we are

Hungerstation is the first Saudi Food delivery App in the region! Established in 2012. Today Hungerstation enables you to browse the largest selection of restaurants and supermarkets in KSA that reach 35,000+ options.

In Hungerstation, we stand for our customers' satisfaction, partners’ loyalty and riders’ wellbeing, in addition to our expansion vision - always aiming higher and moving forward to the utmost levels of service platform.

Hungerstation is part of the Delivery Hero Group, the world’s leading local delivery platform operating in 70+ countries worldwide

What's in it for you

• Exchange ideas and meet 2000+ colleagues from different teams within Delivery Hero in our active guilds and through our global tech and product community.
• Develop your skills with your personal educational budget for conferences and external training.
• Access our e-learning platform LinkedIn and participate in our various in-house training programs
• And much more…

At HungerStation, we believe in shaping the future by empowering the next generation of talent. Our COOP program is designed to provide students with a structured, hands-on learning experience that enhances their professional competencies and prepares them for successful careers.

Program Objectives:

Offer real-world exposure in a fast-paced, innovative environment

Support student development with meaningful projects and deliverables

Equip students with tools, skills, and industry best practices relevant to their area of study

Encourage continuous learning through mentorship, feedback, and performance evaluations

Working Conditions:

Flexibility granted to accommodate academic commitments (e.g., reports, advisor meetings)

Desired Candidate Profile

Qualifications

DATA ANALYTICS ROLE

Skills Required:

Familiarity with Python, SQL, and data analytics tools

Strong analytical thinking and problem-solving mindset

Ability to handle and interpret large datasets

Curiosity and eagerness to explore data

Scope of Work:

Build dashboards and extract business insights

Assist in data cleansing and visualization tasks

Work on ad hoc analytical reports

Data reports and dashboards

Documentation of methodologies used

Insights shared with key stakeholders

INFO SEC ROLE

Skills Required:

Basic knowledge of cybersecurity principles and frameworks

Good communication skills (written and verbal)

Familiarity with risk assessment and security controls

Passion for learning security GRC practices

Scope of Work:

Support maintenance and enhancement of security policy & standards

Assist in the rollout of security awareness and training programs

Contribute to audit response and follow-up activities

Participate in periodic security risk assessments

Updated documentation for policies and audits

Awareness materials

Company Industry

• Internet
• E-commerce
• Dotcom

Department / Functional Area

• Corporate Planning
• Consulting
• M&A

Keywords

• Co-OP Trainee
• Data Analysis - Info Sec

Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at

About the opportunity

About the COOP Program:

At HungerStation, we believe in shaping the future by empowering the next generation of talent. Our COOP program is designed to provide students with a structured, hands-on learning experience that enhances their professional competencies and prepares them for successful careers.

Program Objectives:

• Offer real-world exposure in a fast-paced, innovative environment

• Support student development with meaningful projects and deliverables

• Equip students with tools, skills, and industry best practices relevant to their area of study

• Encourage continuous learning through mentorship, feedback, and performance evaluations

Working Conditions:

• Flexibility granted to accommodate academic commitments (e.g., reports, advisor meetings)

What you need to be successful

DATA ANALYTICS ROLE

Skills Required:

• Familiarity with Python, SQL, and data analytics tools

• Strong analytical thinking and problem-solving mindset

• Ability to handle and interpret large datasets

• Curiosity and eagerness to explore data

Scope of Work:

• Support ongoing data analytics projects

• Build dashboards and extract business insights

• Assist in data cleansing and visualization tasks

• Work on ad hoc analytical reports

Deliverables:

• Data reports and dashboards

• Documentation of methodologies used

• Insights shared with key stakeholders

INFO SEC ROLE Skills Required:

• Basic knowledge of cybersecurity principles and frameworks

• Good communication skills (written and verbal)

• Familiarity with risk assessment and security controls

• Passion for learning security GRC practices

Scope of Work:

• Support maintenance and enhancement of security policy & standards

• Assist in the rollout of security awareness and training programs

• Contribute to audit response and follow-up activities

• Participate in periodic security risk assessments

Deliverables:

• Updated documentation for policies and audits

• Awareness materials

• Risk tracking dashboards or summaries

Who we are

Hungerstation is the first Saudi Food delivery App in the region! Established in 2012. Today Hungerstation enables you to browse the largest selection of restaurants and supermarkets in KSA that reach 35,000+ options. In Hungerstation, we stand for our customers' satisfaction, partners’ loyalty and riders’ wellbeing, in addition to our expansion vision - always aiming higher and moving forward to the utmost levels of service platform. Hungerstation is part of the Delivery Hero Group, the world’s leading local delivery platform operating in 70+ countries worldwide

What's in it for you

• Exchange ideas and meet 2000+ colleagues from different teams within Delivery Hero in our active guilds and through our global tech and product community.
• Develop your skills with your personal educational budget for conferences and external training.
• Access our e-learning platform LinkedIn and participate in our various in-house training programs
• And much more…

Join to apply for the Machine Learning Engineer role at Mozn

Join to apply for the Machine Learning Engineer role at Mozn

Get AI-powered advice on this job and more exclusive features.

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 organizations, 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 talented Machine Learning Engineer to join our growing team. As a Machine Learning Engineer, you will play a pivotal role in optimizing ML models for efficient training and inference, deploying deep learning models in specialized hardware for inference usage, monitoring the performance and latency of deployed models, and maintaining ML infrastructure.

What you'll do

• Designing, building, supporting, and scaling our cloud and/or our on-premise ML infrastructure.
• Deploying deep learning models in production environments and optimizing their performance for inference on either GPU or CPU.
• Maintaining our infrastructure (on-prem and cloud) and preparing it for training and inference purposes.
• Monitoring deployed ML models for their performance, latency, and throughput using automated tools for monitoring and reporting.
• Evaluating and improving data science processes, identifying opportunities for automation, efficiency, and scalability.
• Collaborating with other teams, including product managers, data scientists, software engineers, data annotators, and business stakeholders, to ensure successful deployments of ML models.
• Staying up to date with the latest trends and advancements in ML engineering, ML models, and applying this knowledge to enhance the team’s capabilities.
• Exploring and learning new technologies that can complement or replace our current stack to improve it.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related field.
• +2 years of experience in a similar role.
• Proficiency in Arabic language (Native Arabic speaker) is a must.
• Proficiency in one or more programming languages (e.g., Python, C, C++) with the ability to learn new languages.
• Experience with relational databases, including SQL queries, database definition, and schema design.
• Experience with deploying Deep learning frameworks (e.g. Tensorflow, Pytorch, Onnx) in production environments using inference frameworks (e.g. Nvidia Triton, TFXServing, TorchServe).
• Uphold best practices and principles around clean code, version control, testing, continuous integration and continuous deployment.
• Effective communication skills to convey technical solutions to end-users.
• Experience with monitoring ML models and reporting tools (e.g. grafana, and/or promethues).
• Experience with containerization technologies (e.g. Docker) is highly preferred.
• Experience with distributed computing systems is a plus.
• Experience with cloud platforms (e.g. AWS, GCP, OCI) is a plus.
• Knowledge of big data platforms like kafka, hadoop, and spark is a plus.
• 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.

• Seniority level Associate

• Employment type Full-time

• Job function Information Technology
• Industries Software Development

Referrals increase your chances of interviewing at Mozn by 2x

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Riyadh, Riyadh, Saudi Arabia 10 hours ago

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Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

• Riyadh, SA - Hybrid (Remote and In Person)

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

• Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
• Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
• Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
• Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
• Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
• Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.