Principal (Director) Data Science Consultant Practice Lead

About us

EPAM Systems is a leading global provider of digital platform engineering and software development services. Founded in 1993 and headquartered in Newtown, Pennsylvania, EPAM has been helping clients navigate digital transformation for over 30 years, delivering innovative solutions to stay competitive in constantly evolving markets.

As consultants, designers, architects, engineers and trainers, at EPAM, we specialize in building long-term partnerships, enabling businesses to reimagine themselves through a digital lens. In Saudi Arabia, EPAM operates in Riyadh and Al Khobar, offering cutting-edge engineering, strategy, design, consulting, and innovation services across industries.

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.

The deadline for submission is 31/03/2026.

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
• Valid SCE (Saudi Council of Engineers) certificate (or eligibility to obtain) is required for this position
• 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

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

Nature of Work and Working Hours

The usual working hours for full-time roles at EPAM in Saudi Arabia are from 9:00 AM to 6:00 PM, including a one-hour unpaid lunch break. Working hours may vary based on client requirements and flexibility is accommodated whenever possible.

Our Locations in Saudi Arabia

Riyadh - Moon Tower, Mezzanine Floor, King Fahed Branch Road, AR Rahmaniyah, Riyadh, Saudi Arabia

Al Khobar - 21st Floor, Khobar Gate Tower, Al Bandariyah District, King Fahd Road, Al Khobar, Saudi Arabia

How to Apply, Recruitment Process and Deadline

If you meet the requirements and are eager to join EPAM, simply submit your application online by clicking on "apply” and providing your up to date CV and/or LinkedIn profile and other optional materials live cover letters and portfolios.

Once applied, you will have a conversation with our Talent Acquisition team, followed by a technical interview and an interview with the hiring manager; a client interview may also be included in some cases. If successful, you'll receive an offer and, upon acceptance, officially become part of our team. We look forward to welcoming you aboard!

Join EPAM today and contribute to shaping the future of technology while growing your career in a supportive, global work environment.