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
Principal Consultant • Al ‘Aqrabiyah, Saudi Arabia