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- Tasks: Lead Gen AI projects for clients in the Consumer Packaged Goods and Retail sectors.
- Company: Join a leader in digital transformation, expanding its Data Practice across Europe.
- Benefits: Enjoy perks like private medical insurance, free lunches, and learning opportunities.
- Why this job: Be at the forefront of AI innovation, making a real impact in the industry.
- Qualifications: Bachelor's or Master's in Data Science; experience in Gen AI and CPGR is essential.
- Other info: Participate in exciting social events and have access to over 22,000 courses.
The predicted salary is between 43200 - 72000 £ per year.
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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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
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 focused on AI applications. Building connections can provide insights into what companies are looking for and may even lead to referrals or recommendations for the role.
✨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 ability to communicate complex AI concepts in a clear and actionable manner. Practice explaining your previous projects and their impact to non-technical stakeholders, as this skill is essential for collaborating with senior executives and cross-functional teams.
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 past projects where you designed or implemented Gen AI solutions. Detail the challenges faced, your approach, and the outcomes achieved to illustrate your problem-solving capabilities.
Highlight Communication Skills: Since the role involves communicating complex AI concepts to senior executives, emphasise your strong communication skills. Provide examples of how you've successfully translated technical information into actionable insights for business leaders.
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 Consumer Packaged Goods and Retail. Be prepared to discuss specific projects where you've designed or implemented Gen AI solutions, as this will demonstrate your capability to meet the company's needs.
✨Understand the CPGR Landscape
Familiarise yourself with the current challenges and trends in the CPGR sector. This knowledge will allow you to engage in meaningful discussions about how AI can address these issues, showcasing your understanding of the industry and its dynamics.
✨Communicate Clearly and Effectively
Since you'll be working with senior executives and cross-functional teams, practice explaining complex AI concepts in simple terms. This skill is crucial for ensuring that your ideas are understood and appreciated by non-technical stakeholders.
✨Prepare for Ethical and Regulatory Discussions
Be ready to discuss responsible AI practices and your familiarity with the EU AI regulatory framework. Understanding compliance standards and ethical considerations will show that you are not only technically proficient but also aware of the broader implications of AI in business.
