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EPAM Systems

Data Analytics & AI Consultant - Marketing Expert

London
Posted about 7 hours ago
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Senior Data Analytics & AI Consultant

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 combine data strategy expertise with advanced analytics and AI to deliver impactful business outcomes. Acting as a trusted advisor, you will help clients shape and implement robust data-driven solutions, ensuring alignment with their strategic goals. This position offers the opportunity to influence enterprise AI transformations and drive measurable commercial impact while working in a collaborative and innovative environment.

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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

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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
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Skills

Data Strategy
Predictive Modeling
Generative AI
LLMs
RAG Architectures
Python
SQL
MLOps
Stakeholder Management
Technical Consulting
Time-series Forecasting
Optimization
LangChain
Hugging Face
Cloud AI Services
Databricks

Location

London, England, United Kingdom

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