AI Consultant for Marketing

About EPAM Systems

As one of the world’s leading digital transformation service providers, EPAM Systems is rapidly expanding its Data Practice across Europe to meet increasing client demand for Data Science and AI services.

The Role: AI Consultant for Marketing

EPAM Systems is seeking a highly skilled and experienced AI & Data Science Consultant to join its dynamic team. The ideal candidate will possess a strong background in AI, data science, analytics, IT consulting, and valuable experience in marketing-focused projects, preferably gained within a marketing agency or similar environment.

As an AI Consultant for Marketing, you will collaborate closely with clients to deeply understand their unique business challenges. Your core responsibilities will involve designing and implementing robust data-driven solutions, and subsequently providing actionable insights that directly translate into significant business value. Your expertise in marketing analytics and the application of marketing-related AI and data science use cases will be a critical asset to both EPAM and its clients.

Key Responsibilities

• Define and implement comprehensive AI strategies specifically focused on marketing and customer insights.
• Design and deploy impactful marketing-focused AI solutions, including but not limited to segmentation, recommendation engines, campaign optimization, content generation, and translation.
• Develop and operationalize machine learning models adhering to MLOps best practices.
• Monitor model performance diligently, proactively addressing concerns related to explainability, data drift, and bias.
• Create robust measurement frameworks, incorporating methodologies like Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA).
• Provide essential support for customer journey mapping, Customer Lifetime Value (CLV) prediction, and churn analysis initiatives.
• Clearly communicate AI strategy, risks, and implications to senior marketing stakeholders.
• Collaborate effectively with legal teams on AI governance and ensure compliance with EU regulatory standards.
• Actively contribute to pre-sales activities, including conducting compelling demos, delivering presentations, and responding to RFPs.
• Stay consistently up to date on emerging AI/ML trends, particularly those with strong applications in marketing.

Required Qualifications

• A degree in AI, Data Science, Statistics, Computer Science, Marketing Analytics, or a closely related field. A Ph.D. is a significant advantage.
• 5+ years of hands-on experience in data science/analytics, ideally within consulting or marketing agency environments.
• Demonstrated practical experience with marketing-focused ML use cases, such as segmentation and campaign analytics.
• Proficiency in Python and familiarity with leading cloud platforms like Azure, AWS, and GCP, as well as Databricks.
• Knowledge of key AI/ML tools commonly used in marketing, including HubSpot, Salesforce Marketing Cloud, and Google Analytics.
• A solid understanding of MLOps principles and model deployment strategies within marketing contexts.
• Proven ability to design and develop Large Language Model (LLM) applications for personalization, chatbots, and content generation.
• Strong communication skills, capable of engaging and influencing senior marketing and business stakeholders.
• Awareness of AI ethics, bias mitigation strategies, and regulatory compliance requirements for consumer-facing AI applications.
• Experience with marketing metrics and ROI/CLV modeling; prior ad-tech experience is a plus.

EPAM Systems Offers

• EPAM Employee Stock Purchase Plan (ESPP).
• Comprehensive 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.
• Extensive learning and development opportunities, including in-house training and coaching, professional certifications, and access to over 22,000 courses on LinkedIn Learning Solutions.
• Participation in a discretionary annual bonus program (if eligible).
• Participation in the discretionary Long-Term Incentive (LTI) Program (if eligible and hired into a qualifying level).

Key skills/competency

• AI Strategy
• Data Science
• Marketing Analytics
• Machine Learning (ML)
• MLOps
• Customer Segmentation
• Recommendation Engines
• Campaign Optimization
• LLM Applications
• Python