Data Analytics & AI Consultant - Marketing Expert

• Bachelor's or Master's degree in a quantitative discipline such as Computer Science, Data Science, Statistics or Mathematics
• Proven experience in technical consulting or client-facing data science roles with strong stakeholder engagement skills
• Proficiency in Python and SQL; familiarity with R is advantageous
• Practical experience in building statistical models or predictive algorithms
• Hands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP)
• Knowledge of MLOps practices and tools like Databricks or MLflow
• Ability to tackle ambiguous problems with structured, analytical approaches
• Strong verbal and written communication skills for technical and executive audiences
• Experience in hybrid consulting environments, balancing multiple priorities
• Professional-level English proficiency

• Expertise in specialized analytics domains such as econometrics or marketing mix modeling
• Cloud or machine learning certifications
• Familiarity with containerization platforms like Docker or Kubernetes

• 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, and courses
• 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

We're looking for a Senior Data Analytics & AI Consultant to join our team in London, UK, in a hybrid working mode.

In this role, you will operate at the intersection of business strategy, advanced analytics and AI, with a strong focus on commercial use cases. You will help clients address complex marketing and sales challenges, such as customer acquisition and retention, pricing optimization, segmentation, incrementality measurement, next-best-action recommendations and marketing mix modeling, by designing and implementing data-driven solutions that deliver measurable business value.

As a trusted advisor and analytics translator, you will combine strategic consulting with hands-on expertise, guiding organizations through AI adoption, shaping value-focused roadmaps and overseeing the delivery of advanced models and GenAI capabilities. This role also involves collaborating on solution design, supporting pre-sales initiatives and ensuring a human-centric approach to AI that aligns with regulatory and ethical standards.

If you enjoy converting complexity into clarity, influencing C-level decisions and leveraging cutting-edge AI tools for tangible business impact, this opportunity offers a chance to shape how enterprises use data and AI to drive growth.

• Translate complex business challenges into actionable data science and AI strategies
• Shape and support high-value opportunities, including pre-sales activities such as proposals and technical demos
• Design, develop and deploy predictive models, forecasting systems and GenAI-based solutions using frameworks like LLMs and RAG architectures
• Act as a liaison between business stakeholders and engineering teams to ensure solution alignment
• Apply advanced analytical techniques (predictive modeling, time-series forecasting, optimization) to generate tangible business results
• Promote responsible AI practices in line with ethical and regulatory standards (e.g., EU AI Act)
• Prepare clear documentation and client-facing deliverables for analytics engagements
• Lead collaborative workshops and requirement-gathering sessions
• Support delivery teams with technical problem-solving and ensure project success
• Stay updated with trends and emerging technologies in AI and analytics