Data Analytics & AI Consultant - Marketing Expert

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

Benefits offered by this job

EPAM ESPP (Employee Stock Purchase)

Private medical insurance

Dental care

Pension plan

Cyclescheme

Season ticket loans

Lunch on Wednesdays

On-site massages

Regular social events

In-house training & certifications

Job summary

EPAM Systems, Inc. is seeking a Senior Data Analytics & AI Consultant in London to bridge business strategy, analytics, and AI.

The role focuses on commercial use cases like marketing optimization, segmentation, and mix modeling, translating complex challenges into data-driven strategies. You will design and deploy predictive models, GenAI-based solutions, and LLM/RAG architectures, collaborate with stakeholders, support pre-sales, and ensure responsible AI aligned with regulations.

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
• Practical experience in building statistical models or predictive algorithms
• Hands-on exposure to GenAI concepts and frameworks (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 for technical and executive audiences

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

Skills

Python

SQL

R (advantageous)

LangChain

Hugging Face

AWS

Azure

GCP

Databricks

MLflow

Docker

Kubernetes

MLOps

Education

Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Data Science, Statistics, Mathematics)

Tools

Databricks

MLflow

Docker

Kubernetes

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.ResponsibilitiesTranslate complex business challenges into actionable data science and AI strategiesShape and support high-value opportunities, including pre-sales activities such as proposals and technical demosDesign, develop and deploy predictive models, forecasting systems and GenAI-based solutions using frameworks like LLMs and RAG architecturesAct as a liaison between business stakeholders and engineering teams to ensure solution alignmentApply advanced analytical techniques (predictive modeling, time-series forecasting, optimization) to generate tangible business resultsPromote responsible AI practices in line with ethical and regulatory standards (e.g., EU AI Act)Prepare clear documentation and client-facing deliverables for analytics engagementsLead collaborative workshops and requirement-gathering sessionsSupport delivery teams with technical problem-solving and ensure project successStay updated with trends and emerging technologies in AI and analyticsRequirementsBachelor’s or Master’s degree in a quantitative discipline such as Computer Science, Data Science, Statistics or MathematicsProven experience in technical consulting or client-facing data science roles with strong stakeholder engagement skillsProficiency in Python and SQL; familiarity with R is advantageousPractical experience in building statistical models or predictive algorithmsHands-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 MLflowAbility to tackle ambiguous problems with structured, analytical approachesStrong verbal and written communication skills for technical and executive audiencesExperience in hybrid consulting environments, balancing multiple prioritiesProfessional-level English proficiencyNice to haveExpertise in specialized analytics domains such as econometrics or marketing mix modelingCloud or machine learning certificationsFamiliarity with containerization platforms like Docker or KubernetesWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness coverPrivate medical insurance and dental careEmployee Assistance ProgramCompetitive group pension planCyclescheme, Techscheme and season ticket loansVarious perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, and coursesIf otherwise eligible, participation in the discretionary annual bonus programIf otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program