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
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