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Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

EPAM Systems
London
1 month ago
Applications closed

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Overview

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)) role at EPAM Systems. We are expanding our Data Practice across Western Europe to meet large client demand for our services. We are seeking a data industry leader to join the Data Science, ML/AI Practice with a focus on leading and building the business in Western Europe. You will report to the Global Head of Data Science in the US and will manage and continue to hire a sizeable team as the practice grows.

The role offers opportunities to have a highly visible role in partnership with the global data leadership team to drive growth and our go-to-market strategy in Western Europe. We offer an entrepreneurial and fast-paced environment empowering you to effect substantial change and shape the outcomes of our Data Science ML/AI business.

We are open to hiring someone in the UK, Germany, Netherlands or Switzerland and may consider other locations in Western Europe for the right person.


Responsibilities
  • Lead the Western European Data Science, ML/AI Practice
  • As a part of the Global Data Practice team, work with other practices and European Business leadership to expand our footprint across Western Europe
  • Help drive Generative AI, Advanced Analytics, Computer Vision, NLP end-to-end competency development, encompassing capability scaling, opportunity intake, solutioning, staffing, and execution
  • Focus on practical AI application frameworks, including Data, MLOps, and LLMOps; actively participate in development of Responsible AI, ESG, AI Security offerings
  • Assist in developing enterprise transformation offerings with pragmatic AI adoption as a driver for productivity and new revenue streams
  • Drive vertical (business) and horizontal (enablement) cross-organizational, multi-disciplinary teams to champion an AI-first product vision
  • Assist in forming a practical vision for AI's impact on productivity (SDLC/Engineering, customer centers, etc.)
  • Collaborate with client partners up to C-level to bring AI products and programs to life while maintaining strong relationships and effective delivery to maximize growth
  • Support sales / pre-sales activities by assessing data opportunities, responding to RFPs, creating proposals and presentations
  • Mentor a multi-disciplinary European data team of Lead Data Scientists, Data Architects, Data Tech Consultants up to Senior Director level
  • Stay updated with the latest ML/AI advancements and emerging technologies; proactively recommend new approaches to address challenges
  • Attend and speak at relevant industry events and conferences showcasing EPAM's delivery capabilities

Requirements
  • Bachelor's, Master's or PhD in Computer Science, Data Science or related field or extensive relevant work experience
  • Strong hands-on background in data science and understanding of AI/ML technologies
  • Good grasp of AI/ML operationalization, MLOps, Data Platforms
  • Industry visionary, senior proven leader capable of driving a Data Science, ML/AI Practice in a large consulting organization
  • Extensive experience across Data technology and business with ability to interact with colleagues and clients at all levels
  • Proven track record in designing and implementing ML/AI solutions and end-to-end competency development
  • Experience engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
  • Strong ability to drive C-level client engagements and demonstrate EPAM’s capabilities
  • Able to think creatively, drive end-to-end initiatives, and navigate changes in a global multinational organization
  • Hands-on technical background is essential; this role is not exclusively high-level strategy

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
  • Cyclescheme, Techscheme and season ticket loans
  • Free Wednesday lunch in-office, on-site massages and regular social events
  • Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions
  • Participation in discretionary annual bonus program where eligible
  • Participation in discretionary Long-Term Incentive (LTI) Program where eligible
  • All benefits and perks subject to eligibility requirements

Seniority level
  • Director

Employment type
  • Full-time

Job function
  • Engineering, Information Technology, and Research
  • Industries: Software Development and IT Services and IT Consulting


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