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Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)EPAM SystemsLondon, England, United Kingdom

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

EPAM Systems
  • +3
  • +4
  • GB
    London, England, United Kingdom
  • +3
  • +4
  • GB
    London, England, United Kingdom

Über

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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Wünschenswerte Fähigkeiten

  • Artificial Intelligence
  • Computer Vision
  • Data Science
  • Machine Learning
  • London, England, United Kingdom

Berufserfahrung

  • Data Engineer
  • Machine Learning
  • NLP

Sprachkenntnisse

  • English
Hinweis für Nutzer

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