EPAM logo

Data Analytics & AI Consultant - Marketing Expert

EPAM·Salary not specified

Primary stack

RPythonRAGSQL

Nice to have's

econometricsmarketing mix modelingcloud certificationsmachine learning certificationsDockerKubernetes

Job description

About the Position

We are seeking a Senior Data Analytics & AI Consultant - Marketing Expert 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 by designing and implementing data-driven solutions that deliver measurable business value.

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

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

All benefits and perks are subject to certain eligibility requirements

About the Company

Join our team and contribute to shaping how enterprises use data and AI to drive growth. We are committed to fostering a culture of innovation, collaboration, and excellence.

© EPAM. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

EPAM helps organizations innovate their business processes and rethink the way they manage their businesses so they can remain competitive in this new digital age.

More at EPAM

All 3011 roles

Popular searches