Data Analytics & AI Consultant - Marketing Expert
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.
Responsibilities
- 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
Requirements
- 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
Nice to have
- 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
Benefits
- 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