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For Companies At a Glance
- Tasks: Lead the design and deployment of innovative Gen AI solutions for CPGR clients.
- 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 CPGR industry.
- Qualifications: Bachelor's or Master's in Data Science; expertise in Gen AI and CPGR required.
- Other info: Participation in employee stock purchase plan and annual bonus program available.
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.
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
Familiarize yourself with the latest trends in Generative AI, especially within the Consumer Packaged Goods and Retail sectors. This knowledge will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the CPGR industry who are already working with Gen AI solutions. Attend relevant conferences or webinars to build connections and gain insights that could be beneficial during your application process.
✨Tip Number 3
Prepare to discuss specific case studies where you've successfully implemented AI-driven solutions. Highlight your experience with MLOps and operational scalability, as these are crucial aspects of the role.
✨Tip Number 4
Stay updated on the EU AI regulatory framework and its implications for the CPGR sector. Being knowledgeable about compliance standards will show your commitment to responsible AI practices and can 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 🫡
Understand the Role: Take the time to thoroughly read the job description and understand the specific requirements and responsibilities of the Principal Data Science Consultant - Gen AI Specialist position. Tailor your application to highlight your relevant experience in Generative AI and the Consumer Packaged Goods and Retail sector.
Highlight Relevant Experience: In your CV and cover letter, emphasize your extensive experience in data science roles, particularly any projects or achievements related to Gen AI applications. Be specific about your contributions to AI-driven solutions and how they have impacted business outcomes.
Showcase Technical Skills: Make sure to detail 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 Plotly Dash, to demonstrate your technical capabilities.
Communicate Effectively: Use clear and concise language in your application materials. Since the role involves communicating complex AI concepts to senior executives, showcase your ability to translate technical jargon into actionable insights. This will help demonstrate your fit for the position.
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, focusing on the impact they had on business outcomes.
✨Understand the CPGR Landscape
Demonstrate a deep understanding of the challenges and opportunities within the CPGR sector. Discuss how your skills can address issues like supply chain optimization and consumer engagement, and be ready to provide examples of how you've tackled similar challenges in the past.
✨Communicate Clearly with Stakeholders
Since you'll be working with senior executives and cross-functional teams, practice explaining complex AI concepts in simple terms. Prepare to articulate how your AI strategies align with business goals and the measurable value they can bring.
✨Stay Informed on Regulatory Standards
Familiarize yourself with the EU AI regulatory framework and other compliance standards relevant to the CPGR industry. Be ready to discuss how you ensure that AI solutions are ethical, fair, and compliant with these regulations in your previous roles.
