Data Analytics & AI Consultant - Marketing Expert

EPAM Systems; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

ESPP

Life assurance

Private medical insurance

Dental care

Employee Assistance Program

Pension plan

Cycle scheme

Job summary

EPAM Systems in London is seeking a Senior Data Analytics & AI Consultant to join our hybrid team, blending business strategy with advanced analytics and GenAI capabilities to deliver tangible client value.

You will translate complex marketing and sales challenges into actionable data science strategies, lead workshops, support pre-sales, and oversee delivery of models, forecasts, and responsible AI practices for enterprise clients.

Qualifications

• 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.
• Hands-on exposure to GenAI frameworks and cloud-native AI services (e.g., LangChain, Hugging Face, AWS/Azure/GCP).

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 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.

Skills

Data analytics

AI consulting

Stakeholder engagement

Python

SQL

Communication

Hybrid consulting

Education

Bachelor’s or Master’s in a quantitative field

Tools

LangChain

Hugging Face

Databricks

MLflow

AWS

Azure

GCP

Job description

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 approachesStrong 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 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
• 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