Principal (Director) - Data Analytics & AI Consulting in London

Principal (Director) - Data Analytics & AI Consulting in London

London Full-Time 81144 - 99176 £ / year (est.) Hybrid
E

At a Glance

  • Tasks: Lead AI and data strategies for top-tier clients, driving innovation and transformation.
  • Company: Join EPAM, a leader in tech consulting with a focus on AI and data analytics.
  • Benefits: Enjoy competitive salary, health perks, stock options, and flexible working arrangements.
  • Other info: Dynamic role with opportunities for professional growth and industry representation.
  • Why this job: Shape the future of AI while mentoring teams and influencing C-suite decisions.
  • Qualifications: Proven leadership in tech consulting with expertise in AI and data strategies.

The predicted salary is between 81144 - 99176 £ per year.

Are you an exceptional technology leader who thrives at the intersection of business strategy, digital transformation and state-of-the-art AI? Do you want to take ownership of critical strategic decisions and build the future of EPAM's European Data & AI Practice? EPAM is looking for a Principal (Director) - Data Analytics & AI Consulting to join our team in London, UK in a hybrid working mode. In this senior-level role, you will act as a trusted advisor to C-suite and executive-level clients, helping them navigate complex data modernisation journeys and adopt production-ready AI. As a key authority within the practice, you will collaborate with other leaders to define our go-to-market strategies, lead pre-sales campaigns, design next-generation Generative and Agentic AI offerings and champion Responsible AI frameworks across the UK and Western Europe.

Responsibilities

  • Partner with C-level and executive stakeholders to define enterprise-wide data, analytics and AI strategies that drive growth and transformation.
  • Lead the development of advanced UK and European practice offerings, focusing on Generative AI, Agentic AI and LLMOps.
  • Identify and qualify new Data and AI consulting opportunities, owning the sales pipeline for existing accounts and new pursuits.
  • Architect high-level solutions, respond to complex RFPs/RFIs, draft commercial proposals and lead client pitches for large-scale engagements.
  • Shape, scope and price consulting engagements, establishing delivery models and optimal team structures.
  • Provide senior oversight and technical direction to cross-functional teams to ensure high-quality on-time delivery.
  • Champion EPAM's Responsible AI and security frameworks, guiding clients on ethical AI deployment, bias mitigation and compliance with regulations such as the EU AI Act.
  • Oversee transition from sales to delivery, ensuring alignment of client expectations and technical requirements.
  • Provide leadership and mentorship to consulting teams fostering talent growth across data and AI disciplines.
  • Stay ahead of emerging trends such as agentic workflows and data mesh, introducing new methodologies and representing EPAM at key industry events.

Requirements

  • Bachelor's, Master's or PhD in Computer Science, Data Science, Mathematics, Economics or a related field or relevant work experience.
  • Proven track record in a Director, Principal or equivalent leadership role within a top-tier technology consulting firm.
  • Demonstrated success in driving business development, leading pre-sales efforts and securing funding for large Data and AI projects.
  • Excellent communication and presentation skills with ability to influence and advise executive stakeholders up to C-level.
  • Deep expertise in artificial intelligence, machine learning and generative AI applications with strong knowledge of MLOps and LLMOps life cycles.
  • Advanced understanding of cloud-scale data platforms such as AWS, Azure, GCP or Databricks and data engineering best practices.
  • Knowledge of data governance, data security and emerging AI regulatory frameworks including the EU AI Act.
  • Experience orchestrating multi-disciplinary teams across regions and time zones.
  • Proactive and entrepreneurial approach to problem-solving with ability to bring structure to ambiguous business challenges.
  • Fluent in a European language such as Dutch, French or German is highly desirable.

We offer/Benefits

  • 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.

Principal (Director) - Data Analytics & AI Consulting in London employer: EPAM Systems Ltd

EPAM is an exceptional employer that fosters a dynamic and collaborative work culture, particularly for the Associate Director, Advisor Relations role based in Europe. With a strong emphasis on employee growth through comprehensive learning and development opportunities, EPAM empowers its team members to excel in their careers while enjoying a generous benefits package that includes 26 paid holiday days and a robust pension plan. The company's commitment to innovation and strategic partnerships ensures that employees are at the forefront of shaping market perceptions and driving impactful business outcomes.

E

Contact Details:

EPAM Systems Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal (Director) - Data Analytics & AI Consulting in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EPAM Systems Ltd!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal (Director) - Data Analytics & AI Consulting at EPAM Systems Ltd.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like EPAM Systems Ltd.

✨Apply Directly through Our Website

When you find a suitable opening like Principal (Director) - Data Analytics & AI Consulting at EPAM Systems Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Principal (Director) - Data Analytics & AI Consulting in London

Data Analytics
Artificial Intelligence
Machine Learning
Generative AI
MLOps
LLMOps
Cloud-scale Data Platforms

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at EPAM Systems Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EPAM Systems Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at EPAM Systems Ltd

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EPAM Systems Ltd!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.