478 Predictive Modeling jobs in Saudi Arabia

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SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at SWATX by 2x

Sign in to set job alerts for “Data Science Manager” roles. Senior Manager - Advanced Analytics (COR - 623) Lead/ Staff Data Scientist (Bangkok based, relocation provided) Senior Data Scientist (Bangkok based, relocation provided) Lead DS (Data Scientist) Bangkok based, Relocation provided

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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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Overview

SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals


• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning


• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights


• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency


• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges


• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies


• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth


• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field


• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams


• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)


• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies


• Proven track record of successfully leading and delivering large-scale data science projects that drive business value


• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses


• Strong project management skills and ability to lead teams in a fast-paced environment


• Excellent analytical and strategic thinking skills, with a focus on results


• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic

Preferable Certificates

• Certified Data Scientist (CDS)


• Microsoft Certified: Azure Data Scientist Associate


• Google Cloud Professional Data Engineer

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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• Lead DS (Data Scientist) Bangkok based, Relocation provided

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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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Company Description**
Sia Partners** is a next-generation consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients.

We are a global firm that has grown steadily over the past 20 years
- 2,400 Consultants
- 38 Offices across 18 countries

We invest heavily in tech and design to stay on cutting-edge and meet our clients’ evolving challenges
- 6 AI Centers
- 2 Design Centers
- 600 Clients / 92% returning

We cultivate expertise stemming from our R&D activities and proximity with our client’s industries
- 4 % of our revenue invested in R&D
- 100K Followers on LinkedIn

As the pioneer of Consulting 4.0, we leverage AI, emerging tech, and open innovation.
- **
Tech Lab**

We stay one step ahead of the emerging tech value offer
- **
Disruptive technologies
**RPA | IoT | 5G | Blockchain | DevOps | Quantum Computing
- **
Advanced AI Technology**

Voice Recognition/Virtual Assistants | Voice recognition | Satellite image recognition | Multilingual sentiment analysis | Time -Series | Machine Learning on edge
- **
Tech Greenfields**

Complex ecosystem transcending conventional business

BIM | Autonomous Vehicles | Connected Home | Predictive healthcare | Digital currencies
- **
AI Centers**

We boost the transformative impact of AI through our solutions
- Heka, our AI ecosystem:

- PAAS
- AI solutions
- AI accelerator (Algorithms/models/APIs POC & data sets)
- Production and industrialization of AI projects
**Open Innovation**

We develop innovative ecosystems, both independently and with our clients
- STUDIO, our startup investment arm
- APIFICATOR, international challenge for tech B2B startups
- Alliances and partnerships bringing added value to our clients
- Helping our clients develop their own innovative ecosystems

**Job Description**:
To support, Sia Partners’ development in the Middle East, Sia Partners is recruiting data scientist consultants.

Their vocation will be to take charge, in synergy with our different practices, of the work and missions requiring the implementation of complex models to support our clients address their business challenges related to:

- **
Machine learning and statistics**: Development of explanatory and predictive decision-support models (directed and non-directed learning algorithms, econometrics, forecasting, quantitative diagnosis, etc.).
- **
Operations research**: assistance in the design and implementation of optimization solutions under constraints and simulation models.
- **
Big Data**: algorithmic knowledge for processing large volumes of unstructured data.
**As part of the firm's internal activities, your participation revolves around the following areas**:

- The development or strengthening of our offers through training, working groups, dissemination of internal and external support.
- The publication policy (sector blogs, studies, press release, etc.).
- Commercial development by defining needs and participating in commercial actions

Qualifications**
- You have a training in Engineering School or a high-level training in the field of Data Science, statistical engineering, and econometrics, and you ideally justify a first experience in Big Data or Data Science (internship or 1st job).
High capabilities in framing machine learning problems.
- Strong business acumen, as well as the ability to communicate findings, and mine vast amounts of data for useful insights.
- 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.
- You want to get involved and quickly take responsibility for high added value missions within a dynamic structure.
- You have the ability to work in a team, an open mind, a sense of analysis and you want to join a motivating professional environment where you share our values of excellence, entrepreneurship, innovation, the culture of sharing, benevolence, personal / professional life balance.
**and possess 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, seaborn, statsmodels, scikit-learn, xgboost, and nltk, genism or spacy.Supervised Learning: Regression (simple, multivariate) and Classification (binary, multi-class, multi-label).
- Unsupervised Learning: Clustering (customer segmentation, cluster and community detection) and Dimensionality Reduction (PCA, LDA, TruncatedSVD, NNMF, etc.).
- Recommender Systems: Collaborative Filtering, Content Based and Matrix Factorization Methods.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Natural Language Processing: Text Preprocessing (Arabic & English), Word2Vec, TF-IDF, Text Classification (binary, multi-class, muli-

Join to apply for the Data Science Consultant – Gen AI Specialist role at EPAM Systems .

EPAM is driving digital transformation across the Middle East, and we’re expanding our Data Practice in Saudi Arabia to meet the rising demand for cutting-edge Generative AI (Gen AI) and advanced data solutions.

We are looking for an experienced Data Science Consultant with a strong focus on Gen AI applications across industries but with a strong preference for the oil and gas industry. In this role, you will design, deploy and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape.

If you are passionate about leveraging AI to solve complex business challenges and create real impact, we invite you to join us in shaping the future of AI-driven innovation.

Responsibilities

• Partner with clients across industries to define and execute Gen AI strategies that align with their business goals
• Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation
• Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability and model lifecycle management
• Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement
• Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams
• Ensure AI solutions are fair, explainable and aligned with responsible AI practices
• Work closely with legal and compliance teams to navigate industry regulations and other emerging AI governance frameworks
• Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes
• Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs/RFIs

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics or a related field; Ph.D. is a plus
• Extensive experience in data science roles with demonstrable impact across the Oil and Gas industry; experience in IT consulting is highly desirable
• Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications
• Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit
• Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools
• Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability
• Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders
• Familiarity with AI regulatory frameworks and other relevant compliance standards

We offer

• General Organization for Social Insurance (GOSI)
• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• All benefits and perks are subject to certain eligibility requirements

Seniority level

• Associate

Employment type

• Full-time

Job function

• Business Development, Information Technology, and Engineering

Industries

• Software Development and IT Services and IT Consulting

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Overview

Join to apply for the Principal (Director) Data Science Consultant Practice Lead role at EPAM Systems .

EPAM is driving digital transformation across the Middle East and we’re expanding our Data Practice in Saudi Arabia to meet the rising demand for cutting-edge Generative AI (Gen AI) and advanced data solutions.

We are looking for an experienced Principal (Director) Data Science Consultant Practice Lead with a strong focus on Gen AI applications across industries. In this role, you will design, deploy and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape.

If you are passionate about leveraging AI to solve complex business challenges and create real impact, we invite you to join us in shaping the future of AI-driven innovation.

The role offers exciting opportunities to play a highly visible role in partnership with the wider European data leadership teams to drive growth in the region.

Responsibilities

• Provide technical leadership and strategic direction expertise with clients across industries to define and execute Gen AI strategies that align with their business goals
• Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation
• Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability and model lifecycle management
• Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement
• Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams
• Ensure AI solutions are fair, explainable and aligned with responsible AI practices
• Work closely with legal and compliance teams to navigate industry regulations
• Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes
• Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs/RFIs

Requirements

• Bachelor's or Master's or PhD in Computer Science, Data Science, Statistics or a related field or extensive relevant work experience
• Extensive experience in data science leadership roles with demonstrable impact across various industries. Experience in IT consulting is highly desirable
• Able to act as a driving force in developing and expanding the Middle East Practice footprint in partnership with the wider Data leadership teams
• Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications
• Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit
• Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools
• Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability
• Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders
• Familiarity with AI regulatory frameworks
• Experience in pre-sales or supporting sales teams
• Arabic speaking skills is an advantage

We offer

• General Organization for Social Insurance (GOSI)
• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• All benefits and perks are subject to certain eligibility requirements

Seniority level

• Director

Employment type

• Full-time

Job function

• Business Development, Information Technology, and Engineering
• Industries: Software Development and IT Services and IT Consulting

#J-18808-Ljbffr

Join to apply for the Principal (Director) Data Science Consultant Practice Lead role at EPAM Systems

Join to apply for the Principal (Director) Data Science Consultant Practice Lead role at EPAM Systems

EPAM is driving digital transformation across the Middle East and we’re expanding our Data Practice in Saudi Arabia to meet the rising demand for cutting-edge Generative AI (Gen AI) and advanced data solutions.

We are looking for an experienced Principal (Director) Data Science Consultant Practice Lead with a strong focus on Gen AI applications across industries. In this role, you will design, deploy and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape.

If you are passionate about leveraging AI to solve complex business challenges and create real impact, we invite you to join us in shaping the future of AI-driven innovation.

The role offers exciting opportunities to play a highly visible role in partnership with the wider European data leadership teams to drive growth in the region.

Responsibilities

• Provide technical leadership and strategic direction expertise with clients across industries to define and execute Gen AI strategies that align with their business goals
• Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation
• Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability and model lifecycle management
• Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement
• Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams
• Ensure AI solutions are fair, explainable and aligned with responsible AI practices
• Work closely with legal and compliance teams to navigate industry regulations
• Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes
• Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs/RFIs

Requirements

• Bachelor's or Master's or PhD in Computer Science, Data Science, Statistics or a related field or extensive relevant work experience
• Extensive experience in data science leadership roles with demonstrable impact across various industries. Experience in IT consulting is highly desirable
• Able to act as a diving force in developing and expanding the Middle East Practice footprint in partnership with the wider Data leadership teams
• Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications
• Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit
• Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools
• Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability
• Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders
• Familiarity with AI regulatory frameworks
• Experience in pre-sales or supporting sales teams
• Arabic speaking skills is an advantage

We offer

• General Organization for Social Insurance (GOSI)
• Private healthcare and life insurance
• End of service gratuity
• Annual air travel tickets for expatriates
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• *All benefits and perks are subject to certain eligibility requirements

Seniority level

• Seniority level Director

Employment type

• Employment type Full-time

Job function

• Job function Business Development, Information Technology, and Engineering
• Industries Software Development and IT Services and IT Consulting

Referrals increase your chances of interviewing at EPAM Systems by 2x

Sign in to set job alerts for “Director Data Science” roles. Director, Product Management - Advanced Analytics & AI Director of Partner Operations - Based in Riyadh

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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:

1. 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.
2. 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.
3. 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.
4. 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.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. 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.

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