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- Tasks: Lead and grow the Data Science ML/AI Practice across Western Europe.
- Company: Join a top engineering and digital transformation services provider with a global reach.
- Benefits: Enjoy perks like remote work, competitive salary, and wellness programmes.
- Why this job: Be part of an entrepreneurial environment that empowers you to make impactful changes.
- Qualifications: Strong background in data science and proven leadership experience required.
- Other info: Opportunities for professional growth and participation in industry events.
The predicted salary is between 43200 - 72000 £ per year.
As one of the world's leading engineering and digital transformation services providers, we are looking to expand our very successful Data Practice across Western Europe to meet huge increases in client demand for our services.
We have a very rare opportunity for a data industry leader to join our Data Science, Machine Learning and Artificial Intelligence (ML/AI) Practice with a specific focus on leading and building the business in Western Europe. You will report to the Global Head of Data Science in the US and ultimately manage and continue to hire a sizeable team as the practice continues to grow. The role offers exciting opportunities to play a highly visible role in partnership with the global data leadership team to drive growth and our go to market strategy. We offer a highly entrepreneurial and fast paced environment empowering you to truly 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 Global Data Practice team, work with other practices, as well as European Business leadership team, to help 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 as well as actively participate in the development of Responsible AI, ESG, AI Security offerings
- Assist in the development of enterprise transformation offerings, with pragmatic AI adoption as a major driver for productivity enhancement and the establishment of 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 whilst maintaining strong long lasting relationships, ensuring their satisfaction through effective delivery to maximize growth
- Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations
- Manage and act as a mentor to a multi-disciplinary European data team of Lead Data Scientists, Data Architects, Data Tech Consultants up to and including Senior Director level fostering their professional growth and development across ML/AI
- Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate
- Attend and speak at relevant industry events and conferences showcasing EPAM's extensive and high quality delivery capabilities
Requirements
- Bachelor's, Master's or PhD in Computer Science, Data Science or a related field or extensive relevant work experience
- Very strong hands-on background in data science, understanding of AI/ML technologies and concepts
- Good grasp on AL/ML operationalization, MLOps, Data Platforms
- Industry visionary, avid technologist at heart and a senior proven leader who can drive a Data Science, ML/AI Practice in a large consulting organization
- Extensive work history across Data technology and business with the ability to comfortably interact with colleagues and clients at all levels
- Proven track record in designing and implementing ML/AI solutions and end-to-end competency development
- Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
- Exceptional ability to drive C-level client engagements and demonstrate the full extent of EPAM's capabilities and market offering
- Able to think outside the box, drive end-to-end initiatives and engagements and understand the complexity of driving changes in a global multinational organization
- This role is not exclusively focused on high level strategy/team management but a robust tech background with hands-on experience in the relevant areas highlighted is absolutely essential
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
- 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, over 22,000 courses on LinkedIn Learning Solutions and much more
- 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
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Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) (London) employer: EPAM
Contact Detail:
EPAM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) (London)
✨Tip Number 1
Network with professionals in the data science and AI fields, especially those who have experience in leading teams or practices. Attend industry events and conferences where you can meet potential colleagues and clients, as these connections can be invaluable when applying for a leadership role like this.
✨Tip Number 2
Stay updated on the latest trends and advancements in ML/AI technologies. Being knowledgeable about current developments will not only help you in interviews but also demonstrate your passion and commitment to the field, making you a more attractive candidate.
✨Tip Number 3
Prepare to discuss your hands-on experience with data science projects and how you've successfully led teams in the past. Be ready to share specific examples of how you've driven growth and innovation in previous roles, as this will showcase your capability to lead the Western Europe Data Science Practice.
✨Tip Number 4
Familiarise yourself with the company's values and mission, particularly regarding their approach to AI and responsible technology. Tailoring your discussions around how your vision aligns with theirs can set you apart from other candidates and show that you're a good cultural fit.
We think you need these skills to ace Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, machine learning, and artificial intelligence. Focus on specific projects or roles that demonstrate your leadership capabilities and technical expertise relevant to the position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and AI. Discuss how your vision aligns with the company's goals and how you can contribute to expanding their Data Practice across Western Europe.
Highlight Relevant Experience: When detailing your work history, emphasise your hands-on experience with ML/AI technologies and operationalisation. Include examples of how you've successfully led teams and driven projects that resulted in significant business outcomes.
Showcase Your Industry Knowledge: Demonstrate your understanding of current trends in AI and data science. Mention any relevant conferences you've attended or speaking engagements you've had, as this shows your commitment to staying updated in the field.
How to prepare for a job interview at EPAM
✨Showcase Your Leadership Skills
As a candidate for the Western Europe Practice Head, it's crucial to demonstrate your leadership experience. Prepare examples of how you've successfully led teams in data science or AI projects, focusing on your ability to mentor and develop talent within your team.
✨Understand the Market Landscape
Familiarise yourself with the current trends and challenges in the data science and AI sectors across Western Europe. Be ready to discuss how you can leverage these insights to drive growth and expand the company's footprint in the region.
✨Prepare for C-Level Engagements
Since the role involves collaborating with C-level executives, practice articulating complex technical concepts in a way that resonates with business leaders. Highlight your experience in engaging senior stakeholders and securing funding for ML/AI projects.
✨Demonstrate Technical Proficiency
Given the emphasis on hands-on experience, be prepared to discuss your technical background in data science and ML/AI. Share specific examples of projects where you've implemented solutions, showcasing your understanding of MLOps and operationalisation of AI technologies.
