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- Tasks: Lead the design and deployment 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 remote work options, private medical insurance, and free lunches.
- 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: Opportunities for professional development and participation in an annual bonus program.
The predicted salary is between 54000 - 84000 £ per year.
Principal Data Science Consultant – Gen AI Specialist
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.
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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
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Principal Data Science Consultant - Gen AI Specialist employer: EPAM
Contact Detail:
EPAM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Science Consultant - Gen AI Specialist
✨Tip Number 1
Network with professionals in the Consumer Packaged Goods and Retail sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and clients who can provide insights into the latest trends and challenges in Gen AI.
✨Tip Number 2
Stay updated on the latest advancements in Generative AI technologies, particularly Large Language Models and Retrieval-Augmented Generation. Follow relevant blogs, podcasts, and research papers to ensure you can discuss these topics confidently during interviews.
✨Tip Number 3
Prepare to demonstrate your understanding of AI governance frameworks and compliance standards, especially the EU AI Act. Be ready to discuss how you would implement responsible AI practices in your projects, as this is crucial for the role.
✨Tip Number 4
Practice articulating complex AI concepts in simple terms. As a Principal Data Science Consultant, you'll need to communicate effectively with senior executives, so honing your ability to translate technical jargon into actionable business insights will be key.
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 your work within the Consumer Packaged Goods and Retail sectors, showcasing specific projects that demonstrate your impact.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your understanding of the role and how your skills align with the company's needs. Mention your expertise in AI/ML tools and your familiarity with regulatory frameworks like the EU AI Act.
Showcase Relevant Projects: Include examples of innovative AI-driven products you have designed or implemented. Highlight your experience with customer personalisation tools, demand forecasting systems, and any other relevant projects that demonstrate your capabilities.
Prepare for Technical Questions: Be ready to discuss your technical skills in Python and your experience with frameworks like Airflow and Databricks. Prepare to explain complex AI concepts in simple terms, as this will be crucial when communicating with senior executives.
How to prepare for a job interview at EPAM
✨Showcase Your Gen AI Expertise
Make sure to highlight your experience with Generative AI, especially in the context of the Consumer Packaged Goods and Retail sectors. Be prepared to discuss specific projects where you've implemented Gen AI solutions and 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. Demonstrating your knowledge of compliance standards will show that you can navigate the complexities of AI governance effectively.
✨Communicate Clearly and Effectively
Practice translating complex AI concepts into simple, actionable insights. During the interview, focus on how you can communicate strategies and risks to senior executives and cross-functional teams, as this is crucial for the role.
✨Prepare for Technical Questions
Expect technical questions related to AI/ML tools and platforms like Azure, AWS, and Python frameworks. Brush up on your knowledge of MLOps and operational scalability, as these are key components of the role.
