At a Glance
- Tasks: Lead the design and implementation of innovative Gen AI solutions for the CPGR sector.
- Company: Join a leader in digital transformation, expanding its Data Practice across Europe.
- Benefits: Enjoy perks like private medical insurance, free lunches, and extensive learning opportunities.
- Why this job: Be at the forefront of AI innovation, making a real impact in the retail industry.
- Qualifications: Bachelor’s or Master’s in Data Science; experience in Gen AI and CPGR is essential.
- Other info: Full-time role with opportunities for professional growth and participation in bonus programs.
The predicted salary is between 54000 - 84000 £ per year.
Principal Data Science Consultant – Gen AI Specialist
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Principal Data Science Consultant – Gen AI Specialist
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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.
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
- 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 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
Seniority level
-
Seniority level
Director
Employment type
-
Employment type
Full-time
Job function
-
Job function
Business Development, Information Technology, and Engineering
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Industries
Software Development and IT Services and IT Consulting
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Principal Data Science Consultant – Gen AI Specialist employer: EPAM Systems
Contact Detail:
EPAM Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Science Consultant – Gen AI Specialist
✨Tip Number 1
Familiarise yourself with the latest trends in Generative AI, especially within the Consumer Packaged Goods and Retail sectors. This knowledge will not only help you understand the challenges faced by potential clients but also allow you to speak confidently about how your expertise can address their specific needs.
✨Tip Number 2
Network with professionals in the CPGR industry and attend relevant conferences or webinars. Building connections can provide insights into what companies are looking for and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 3
Prepare to discuss your experience with AI governance frameworks and responsible AI practices. Being able to articulate how you've implemented these in past roles will demonstrate your commitment to ethical AI solutions, which is crucial for this position.
✨Tip Number 4
Showcase your technical skills by being ready to discuss specific tools and platforms you've used, such as Azure, AWS, or Python frameworks. Highlighting your hands-on experience with these technologies will set you apart from other candidates.
We think you need these skills to ace Principal Data Science Consultant – Gen AI Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly focusing on Generative AI applications. Emphasise any relevant projects or roles within the Consumer Packaged Goods and Retail sectors.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your understanding of the challenges faced by the CPGR industry and how your expertise in Gen AI can provide solutions. Use specific examples to demonstrate your impact in previous roles.
Showcase Technical Skills: List your proficiency in AI/ML tools and platforms such as Azure, AWS, GCP, and your programming skills in Python. Mention any frameworks you have used, like Airflow or Streamlit, to show your technical capabilities.
Highlight Communication Skills: Since the role requires effective communication with senior executives, include examples of how you've successfully translated complex AI concepts into actionable insights for business leaders in your application.
How to prepare for a job interview at EPAM Systems
✨Showcase Your Gen AI Expertise
Make sure to highlight your experience with Generative AI, especially in the Consumer Packaged Goods and Retail sectors. Be prepared to discuss specific projects where you've designed or implemented Gen AI solutions, focusing on the impact they had on business outcomes.
✨Understand the Regulatory Landscape
Familiarise yourself with the EU AI regulatory framework and how it affects Gen AI applications. During the interview, demonstrate your knowledge of compliance standards and ethical practices, as this will show that you can navigate the complexities of AI governance.
✨Communicate Complex Concepts Simply
Practice explaining complex AI concepts in a way that is accessible to senior business leaders. Use examples from your past experiences to illustrate how you've translated technical insights into actionable strategies that align with business goals.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-world situations. Think about challenges you've faced in previous roles, particularly related to supply chain optimisation or consumer engagement, and be ready to discuss how you approached these issues.