Data Science Consultant

Epam; London; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading digital transformation service provider seeks a skilled Data Science Consultant in London to help clients with AI strategy and solutions. The ideal candidate will have a strong background in data science and analytics, with responsibilities including implementing AI governance and deploying machine learning models. This opportunity offers a diverse work environment and competitive benefits.

Benefits

Group pension plan

Private medical and dental insurance

Gym discounts

Free in-office lunch

Qualifications

• At least 2 years of experience in data science or analytics.
• Strong communication skills for presenting to business leaders.
• Expertise in identifying bias in AI/ML models.

Responsibilities

• Support clients in defining and implementing their AI strategy.
• Implement AI governance frameworks, ensuring business value.
• Lead the deployment of AI/ML models to production.

Skills

Communication skills

Understanding of LLMs

Knowledge of AI/ML governance

Python proficiency

Education

Bachelor's or Master's degree in Data Science, Computer Science, or related fields

Ph.D. (optional)

Tools

Azure

AWS

GCP

Databricks

MLFlow

Airflow

Plotly Dash

Streamlit

Job description

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About the Role

As one of the world's leading digital transformation service providers, we are expanding our Data Practice across Europe to meet increasing client demand for Data Science and AI services. We are seeking a skilled Data Science Consultant to join our team. The ideal candidate will have a strong background in data science, analytics, and IT consulting. You will work with clients to understand their challenges, design data-driven solutions, and provide insights that drive business value.

Responsibilities

• Support clients in defining and implementing their AI strategy.
• Implement AI governance frameworks, focusing on compliance and ethical AI principles, ensuring business value from AI investments.
• Design and develop new AI-enabled products.
• Lead the deployment of AI/ML models to production, ensuring robust MLOps practices.
• Monitor and optimize model performance, addressing explainability, data drift, and model drift issues.
• Communicate AI opportunities, risks, and strategies effectively to senior executives.
• Collaborate with legal teams on AI regulatory risks, especially regarding EU frameworks.
• Stay updated on industry trends, emerging technologies, and regulatory changes in AI/ML.
• Support pre-sales activities, including client presentations, demos, and RFP/RFI responses.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics, or related fields; Ph.D. is a plus.
• At least 2 years of experience in data science, analytics, or related roles within IT consulting and services.
• Strong communication skills, comfortable presenting to senior business leaders.
• Deep understanding of Large Language Models (LLMs), their strengths and limitations.
• Knowledge of RAG-based solution approaches.
• Experience with AI/ML governance and responsible AI practices.
• Understanding of ML Ops principles, model deployment, and management.
• Ability to explain complex AI risks and strategies to non-technical stakeholders.
• Expertise in identifying and mitigating bias in AI/ML models.
• Proficiency in Python and familiarity with tools/platforms like Azure, AWS, GCP, Databricks, MLFlow, Airflow, Plotly Dash, and Streamlit.

Our Benefits Include

• Group pension plan, life assurance, income protection, and critical illness cover.
• Private medical and dental insurance.
• Cyclescheme, Techscheme, and season ticket loans.
• Employee assistance programs.
• Training, certifications, coaching, well-being programs, and LinkedIn Learning.
• EPAM Employee Stock Purchase Plan (ESPP).
• Perks such as gym discounts, free in-office lunch, massages, and social events.

About EPAM

• EPAM is a global leader in digital platform engineering and development services. We foster a positive, inclusive culture with diverse, multinational teams working on innovative projects. We support continuous learning and growth, offering opportunities regardless of location.