Principal Data Science Consultant - Gen AI Specialist

EPAM; Manchester; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading company in digital transformation seeks an experienced Data Science Consultant focused on Generative AI applications within the Consumer Packaged Goods and Retail sectors. This role involves designing and deploying AI solutions, collaborating with clients, and ensuring compliance with industry standards. The ideal candidate will leverage their expertise in AI to drive impactful solutions and unlock growth opportunities.

Benefits

EPAM Employee Stock Purchase Plan (ESPP)

Life assurance

Private medical insurance

Employee Assistance Program

Competitive group pension plan

Free Wednesday lunch in-office

On-site massages

Learning and development opportunities

Discretionary annual bonus program

Long-Term Incentive (LTI) Program

Qualifications

• Extensive experience in data science roles with impact in CPGR sector.
• Expertise in Gen AI, including LLMs and RAG-based solutions.

Responsibilities

• Partner with CPGR clients to define and execute Gen AI strategies.
• Design and implement innovative AI-driven products.
• Lead development and monitoring of Gen AI/ML models.

Skills

Data Science

AI

Communication

Python

Education

Bachelors or Masters degree in Data Science

Ph.D.

Tools

Azure

AWS

GCP

Databricks

MLFlow

Streamlit

Job description

As a leader in digital transformation, we are expanding our Data Practice across Europe to meet the growing demand for cutting-edge Generative AI (Gen AI) and advanced data solutions. We are seeking an experienced Data Science Consultant with a strong focus on Gen AI applications, particularly within the Consumer Packaged Goods and Retail (CPGR) industry.

In this role, you will leverage your expertise in AI to design, deploy and optimize Gen AI solutions tailored to the challenges and opportunities within the CPGR sector. You will collaborate with clients to understand their business needs, deliver impactful AI-driven solutions and unlock new growth opportunities.

#LI-DNI

Responsibilities

• Partner with CPGR clients to define and execute Gen AI strategies that align with business goals
• Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems and dynamic pricing solutions
• Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps and operational scalability
• Establish and oversee AI governance frameworks to ensure compliance with regulatory standards, ethical practices and measurable business value
• Leverage Gen AI technologies, including LLMs and Retrieval-Augmented Generation (RAG), to address CPGR-specific challenges such as supply chain optimization, inventory management and consumer 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, including the EU AI Act and their impact on Gen AI in CPGR
• 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

• Bachelors or Masters 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 in the CPGR sector. Experience in IT consulting is highly desirable
• Expertise in Gen AI, including Large Language Models (LLMs) and RAG-based solution approaches
• 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
• Deep understanding of CPGR challenges, including supply chain dynamics, consumer behavior analytics and retail-specific AI applications
• 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 the EU AI regulatory framework and other relevant compliance standards

We offer

• EPAM Employee Stock Purchase Plan (ESPP)
• Protection benefits including life assurance, income protection and critical illness cover
• Private medical insurance and dental care
• Employee Assistance Program
• Competitive group pension plan
• Cyclescheme, Techscheme and season ticket loans
• Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
• *All benefits and perks are subject to certain eligibility requirements