30 Algorithm Development jobs in Saudi Arabia

About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

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Job Description:

Leading the development and execution of advanced data science initiatives, collaborate across departments to identify data-driven opportunities, and ensure the scalability and efficiency of all data science solutions.

Responsibilities:

• Lead the design, development, and deployment of sophisticated data science models using IBM Cloud Pak for Data.
• Perform in-depth data analysis to extract actionable insights and identify key trends.
• Communicate complex findings and strategic recommendations effectively to stakeholders.
• Partner with the Data Engineering team to ensure high-quality, accessible, and reliable data infrastructure.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum of 5 years of experience in data science, machine learning, or a similar domain.
• Demonstrated success managing large-scale data projects, building predictive models, and deploying machine learning solutions.
• Strong ability to translate business requirements into effective data-driven strategies.

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About the team:

Hudhud Maps Data Science team’s mission is to harness the power of data to build intelligent solutions that elevate the user experience, optimize decision-making, and improve operational efficiencies. As a leader in this team, you will be at the forefront of using cutting-edge AI and machine learning models to solve complex challenges in the MENA region. You’ll work with and hire some of the brightest data science talent, leveraging state-of-the-art technologies such as machine learning, optimization, deep learning, and NLP to transform how cities are mapped and navigated, all while driving real-time impact through our in-house AI and data infrastructure.

What you will do:

• Develop a vision and thought leadership in the space of mapping and location-based intelligence, gaining deep expertise in this domain.
• Define a clear roadmap for the data science teams, ensuring alignment with both product and business goals, while driving team growth and development.
• Lead and scale a distributed Data Science team, collaborating with cross-functional teams to solve challenges in multiple subdomains, including POI (Points of Interest) collection and enrichment, road and map features generation, search, personalization and real-time navigation.
• Develop innovative AI models and data strategies to solve previously unsolvable problems, unlocking new opportunities for Hudhud Maps to deliver exceptional value to users.
• Collaborate with leadership to ensure data science initiatives directly contribute to the company’s strategic goals and have a meaningful impact on the organization.
• Partner with engineering and product teams to deliver major cross-functional projects that push the boundaries of mapping technology.
• Reimagine and reinvent how mapping and navigation are experienced in the region using AI-driven approaches.
• Foster collaboration with external AI communities, universities, and the broader tech ecosystem in the MENA region to raise the bar for applied AI.

What you will need:

• An advanced degree in a quantitative field such as computer science, statistics, economics, or mathematics.
• At least 8+ years of professional experience working in data science and machine learning teams.
• Strong experience in building, managing, and growing data science teams is essential.
• A proven track record of delivering high-impact AI solutions and successfully leading cross-functional projects.
• Experience launching new products and continuously improving them over time.
• Demonstrated ability to attract, retain, and nurture top-tier talent.
• A passion for fostering a culture of ownership, collaboration, and results.
• Excellent leadership, communication, critical thinking, and judgment skills.
• A strong motivation to make an impact and elevate the AI landscape in the region.

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Company Description

Sia Partners is a next-generation consulting firm focused on delivering superior value and tangible results to clients as they navigate the digital revolution. Our global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science. As the pioneer of Consulting 4.0, we integrate AI into our solutions.

Sia Partners comprises 2,400+ consultants with diverse expertise and operates from 38 offices worldwide; spanning across Asia, North Africa, and North America, in addition to Europe and the United Kingdom. In the Middle East, Sia Partners provides expert advisory services on strategy & execution, innovation, operational performance & cost reduction, cyber & data security, efficient organisation, transformation & change management, HR performance, and IT performance. In addition to these services, Sia Institute, Sia Partners’ world-class international training arm, provides a wide range of learning programs and workshops with modules successfully delivered across various locations and sectors, particularly in the Middle East.

Sia Institute is an exclusive representative in the GCC of The Global Innovation Management Institute and is a certified center by ILM (in the UK). Sia Partners Middle East began with the establishment of the Dubai office in 2009 focusing on Government, Energy and Utilities. From there, a gradual growth in regional scope and practice has paved the way for successful wins within other sectors. Today Sia Partners has offices in Abu Dhabi, Doha, and Riyadh. Along with a multinational team, the Partners leading the Middle East Offices have a long record of accomplishments and expertise, and play an active role in the realization of the region’ vision in both Public and Private sectors.

**Job Description**:
As a Data Science Manager, you will assume several responsibilities across delivery, business development, management /mentoring, recruitment, marketing / content development:

- ** Expertise**: lead the development of the data science practice including RPA, Data, Data Science, Digital transformation in a wide range of sectors such as Energy, Banking, Government, MCX, Retail etc
- ** Business Development**: driving growth and improving revenue for the firm / drive proposals and client material.
- ** Delivery**: Lead teams and deliver project work across a range of clients based either from our office in the Kingdom or at client site.
- ** Management & Monitoring**: support the management team and ensure mentoring and developing junior team members.
- ** Recruitment & Marketing**:Contribute to the development of the Sia Partners brand and actively participate to the recruitment.

As part of a diverse and motivated team, you will be involved in transformation projects at our clients. You will **manage and execute** project assignments in modelling and digital transformation (business/IT analysis and partial coding) environments with a good deal of business perspectives:

- ** Data Management**: Support in Data Strategy Development, Data valuation strategy, governance, Data architecture, repository and Data modeling
- ** Data Analysis and / or visualization**: Creation and monitoring of KPIs, Data analysis, Data visualization and dashboarding.
- ** Machine learning, AI and statistics**: developing predictive models of decision making (supervised and unsupervised learning algorithms, econometrics, forecasting, NLP, quantitative diagnosis,.).
- ** Operations research**: assistance in the design and implementation of optimization solutions under constraints and simulation models.
- ** Big Data**:Algorithmic knowledge for large and unstructured data processing.

**Qualifications**:

- At least 10 years of relevant work experience in data science field and in consulting and/or data related projects having managed and delivered projects in these fields.
- Expertise in the Public Sector, Banking and/or Energy is a big plus.
- Knowledge of the Middle East Market and previous experience in the KSA.
- Entrepreneurial drive - previous sales experiences is a must - thrives on growth challenges with regard to client development and business development.
- Ability to work with senior stakeholders.
- Strong project / program management experience with a focus on Agile Methodology.
- Team player and ability to navigate in a multi-cultural environment.
- Proficiency in at least 2 of the following: Python, R, SQL.
- Solid foundation in scripting languages like (Python, Perl, JS, bash) or compiled (C +, Java) and/or have experience in environments UNIX / LINUX.
- Proficient English and Arabic speaker.

**Expertise in some or all of the following**:
Data cleaning, manipulation and pre-processing, exploratory analysis, feature engineering and machine learning libraries like pandas, numpy, scipy, regex, matplotlib,

Join to apply for the Senior Data Science Specialist role at HALA

Join to apply for the Senior Data Science Specialist role at HALA

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.

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

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at HALA by 2x

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Riyadh, Riyadh, Saudi Arabia 21 hours ago

Machine Learning Engineer (Advanced Speech & TTS) – Build the Future of Arabic Voice AI Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Senior Manager | Engineering AI & Data | AI & Data (Financial Services) | Riyadh Lead/ Staff Data Scientist (Bangkok based, relocation provided) Senior Associate - Reporting & Analytics

Riyadh, Riyadh, Saudi Arabia 23 hours ago

Market Intelligence Associate - Field Communicator Lead DS (Data Scientist) Bangkok based, Relocation provided Lead Data Science (Bangkok based, Relocation provided) Senior Data Analytics Development Specialist

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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

• StrongPython 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 Apply for this job

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Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia. It aims to realize Vision 2030 and has a proven track record of supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is a trusted AI technology partner for major government organizations, 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, ensuring the growth and prosperity of our digital humanity. It is an exciting time to work in AI to create a lasting impact.

About the role

We are seeking a Data Science Manager to lead our team. You will oversee data scientists and engineers, manage model development, and contribute to software and data platform development. Your role involves driving impactful outcomes, fostering collaboration, and ensuring team success in delivering high-quality solutions.

What you'll do

• Lead a team working with large-scale datasets, designing and developing foundation models and their specialization, fine-tuning, and alignment.
• Manage the entire model development lifecycle, including design, experimentation, evaluation, prototyping, and production, ensuring high-quality results.
• Contribute to software and data delivery platform development, promoting a reusable, service-oriented approach across teams to create value for business use cases.
• Stay updated with emerging technologies, industry trends, and market developments to support model and product development, as well as operational activities.
• Participate in team growth by attracting, developing, and retaining top talent.
• Foster a collaborative, inclusive team culture with effective communication, knowledge sharing, and cross-functional collaboration.

Qualifications

• Bachelor’s or Master’s degree in computer science or related field.
• At least 6 years of relevant experience, with 4+ years in science and engineering management.
• Proven experience in building and deploying Natural Language Understanding applications in production environments.
• Proficiency in Arabic language; knowledge of Modern Standard Arabic grammar and morphology is a plus.
• Strong Python programming skills, with advanced techniques and concepts.
• Extensive experience with PyTorch or TensorFlow frameworks.
• Experience handling large-scale, noisy text corpora (processing, cleaning, deduplication).
• Experience with large-scale distributed AI training and inference, including multi-node GPU computing, is a plus.
• Familiarity with multimodal foundation models is a plus.
• Background in computational or formal linguistics is a plus.
• Must embody humility, excellence, relevance, and a high sense of ownership.
• Join at a pivotal time for the Middle East in a high-growth environment, with significant responsibilities and trust.
• Enjoy competitive compensation, top-tier health insurance, and an empowering culture.
• Work alongside some of the greatest minds in AI in a fun, dynamic workplace that values diversity and inclusion.

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Join to apply for the Senior Specialist - AI & Data Science role at Norconsult Telematics

Join to apply for the Senior Specialist - AI & Data Science role at Norconsult Telematics

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Job Posting location will be Riyadh, Saudi Arabia (on-site)

Position Objectives:

• Lead the development of scalable data pipelines and end-to-end AI/ML solutions, incorporating both traditional machine learning and Generative AI (LLMs, RAG, Agentic AI) to address real-world business challenges.
• Drive experimentation, explainability (SHAP, LIME), model deployment, and insight delivery in collaboration with cross-functional teams to produce measurable, stakeholder-aligned outcomes.

Job Descriptions & Responsibilities:

• Perform data exploration, profiling, cleaning, feature engineering, and statistical analysis to prepare high-quality datasets for modeling.
• Develop, fine-tune, and validate ML/DL models using Python (Scikit-learn, TensorFlow, PyTorch) and integrate Generative AI components like LLMs, prompt engineering, and RAG pipelines.
• Apply model explainability techniques (e.g., SHAP, LIME) to enhance transparency and trust in AI outputs.
• Contribute to the design of agentic AI workflows (e.g., reasoning loops, task orchestration via LangChain or AutoGen).
• Collaborate with cross-functional teams (AI, MLOps, Data, Applications) to align solutions with business needs and ensure smooth deployment.
• Support insight delivery through BI tools (e.g., Power BI), data storytelling, and stakeholder-focused presentations.
• Ensure timely delivery of prototypes, deployments, and iterations, while adapting to evolving tools and frameworks.
• Achieve quarterly benchmarks for validated models, reusable data pipelines, and impactful AI solutions using GenAI/Agentic AI.
• Drive stakeholder satisfaction by delivering actionable insights, accurate reports, and architecture walkthroughs.
• Exhibit strong communication, problem-solving, and time management skills while maintaining business empathy and customer focus.

Qualification & Experience:

• Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Mathematics, or Engineering.
• 4+ years of hands-on experience in Data Science or AI/ML roles with proven model deployment.
• Strong foundation in machine learning, deep learning, statistical analysis, and Generative AI.
• Proficient in Python (NumPy, Pandas, Scikit-learn, Matplotlib, Transformers) and SQL.
• Experience with deep learning frameworks (TensorFlow, PyTorch) and GenAI libraries (Hugging Face, LangChain).
• Skilled in LLM fine-tuning, embedding models, RAG pipelines, and agentic AI workflows.
• Familiar with data storage optimization, low-latency model serving, and OpenShift AI platform concepts.
• Knowledge of BI tools (e.g., Power BI), data modeling, and storytelling for business insights.
• Relevant certifications/workshops in AI, ML/DL, or Cloud platforms (AWS, GCP, Azure) preferred.
• Language: English – mandatory; Arabic – an added advantage.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Design and Engineering
• Industries Information Services, IT Services and IT Consulting, and Telecommunications

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

Machine Learning Engineer (Advanced Speech & TTS) – Build the Future of Arabic Voice AI Senior Manager | Engineering AI & Data | AI & Data (Financial Services) | Riyadh Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

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Adjunct/Visiting Faculty Position - Data Science

The KSPP is a newly established graduate school that offers master’s and executive education programs. The first cohort of master’s students commenced their graduate studies in the fall of 2024. Situated in the thriving capital city of Riyadh, Saudi Arabia, on the state-of-the-art KAPSARC campus, the KSPP is well-placed to offer students an exceptional educational experience.

The KSPP’s vision is to be a world-class education and research institution that prepares the next generation of public policy leaders and professionals within the Kingdom of Saudi Arabia and globally. To achieve this vision, the school is committed to providing high-quality educational programs and creating a bridge between academia, industry, and government. As the first public policy school in the Kingdom of Saudi Arabia, the KSPP is uniquely positioned to offer public policy degrees focusing on management and leadership, energy and climate policy, and data analytics. By providing concentrations in these areas, the school aims to help students develop the skills and knowledge necessary to address pressing policy challenges and make a meaningful impact in their communities and beyond.

The KAPSARC School of Public Policy (KSPP) invites applications for an Adjunct/Visiting faculty position in Data Science. We welcome candidates from any subfield of Data Science, including those with research interests that intersect with political science, decision science, and/or economics. The KSPP offers a highly competitive salary and benefits package, including children’s educational support, housing support, and premier health insurance.

Responsibilities:

1. The successful candidate will be expected to carry out impactful research, teach courses related to the candidate’s research field, contribute to core courses and/or electives in public sector management and leadership, supervise capstone projects, and contribute to the overall academic environment of the School.

Qualifications:

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

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