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Principal; Director Data Science Consultant Practice Lead

Job in Khobar, Eastern Province, Saudi Arabia
Listing for: EPAM Systems
Full Time position
Listed on 2026-01-27
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 300000 - 400000 SAR Yearly SAR 300000.00 400000.00 YEAR
Job Description & How to Apply Below
Position: Principal (Director) Data Science Consultant Practice Lead

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 Gen 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
  • 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 allowance for expatriates
  • Corporate Programs including Employee Referral Program with rewards
  • Learning and…
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