Overview

Data Science Consultant with Marketing Expertise — EPAM Systems. We are seeking a highly skilled Data Science Consultant to join our Data Practice across Europe. The ideal candidate will have a strong background in data science, analytics, IT consulting and experience in marketing-focused projects, preferably within a marketing agency or similar environment. As a Data Science Consultant, you will work closely with clients to understand their business challenges, design and implement data-driven solutions and provide actionable insights that drive business value. Your ability to bring expertise in marketing analytics and marketing-related data science use cases will be a critical asset.

Responsibilities

• Define and implement AI strategies focused on marketing and customer insights
• Design and deploy marketing-focused AI solutions (e.g. segmentation, recommendation engines, campaign optimization)
• Develop and operationalize ML models using MLOps best practices
• Monitor model performance, addressing explainability, data drift and bias
• Create measurement frameworks including MMM and MTA
• Support customer journey mapping, CLV prediction and churn analysis
• Communicate AI strategy and risks to senior marketing stakeholders
• Collaborate with legal teams on AI governance and EU regulatory compliance
• Contribute to pre-sales activities: demos, presentations and RFPs
• Stay up to date on AI/ML trends particularly in marketing applications

Qualifications

• Degree in Data Science, Statistics, Computer Science, Marketing Analytics or related field; Ph.D. a plus
• 2+ years’ experience in data science/analytics ideally in consulting or marketing agency environments
• Hands-on experience with marketing-focused ML use cases (e.g. segmentation, campaign analytics)
• Proficiency in Python and familiarity with platforms like Azure, AWS, GCP, Databricks
• Knowledge of AI/ML tools used in marketing (e.g. HubSpot, Salesforce Marketing Cloud, Google Analytics)
• Understanding of MLOps and model deployment in marketing contexts
• Familiarity with LLM applications for personalization, chatbots and content generation
• Strong communication skills able to engage senior marketing and business stakeholders
• Awareness of AI ethics, bias mitigation and regulatory compliance in consumer-facing AI
• Experience with marketing metrics and ROI/CLV modeling; ad-tech experience is a plus

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
• 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

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Business Development, Information Technology, and Engineering
• Industries: Software Development and IT Services and IT Consulting