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Western europe practice head - data science (machine learning/artificial intelligence (ml/ai)

London
EPAM Systems
Head of data
Posted: 20 October
Offer description

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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