Data Analytics & AI Consultant - Marketing Expert
Job in
London, Greater London, W1B, England, UK
Listed on 2026-10-31
Listing for:
EPAM Systems
Full Time
position Listed on 2026-10-31
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below
London; UKWork type:
Hybrid Seniority:
Associate Management Primary skill:
Data Science Consulting Posted:
We're looking for a Senior Data Analytics & AI Consultant to join our team in London, UK, in a hybrid working 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., Lang Chain, 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 We offerEPAM 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 Cycle scheme, 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
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