Head of Data Science

Robert Walters
London
11 months ago
Applications closed

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Salary: GBP100000 - GBP110000 per annum + 16%

Our client is seeking a Head of Data Science to lead their dynamic team in London. This role offers an exciting opportunity to support the mission of helping members live happier, healthier lives through data-driven insights. The successful candidate will work closely with stakeholders across the business, identifying high-value data science projects aligned with organisational priorities. You'll be instrumental in driving the adoption of advanced Machine Learning Ops capabilities on a new Google Cloud-based platform, and ensuring its seamless integration into existing infrastructure.

What you'll do:

  • Contribute significantly to the data science roadmap, setting out project priorities into the medium-term
  • Drive roadmap projects through to successful deployment and demonstrate their impact on the business bottom line
  • Build and manage relationships with a wide range of stakeholders across Health and Life businesses as well as operational support functions and IT delivery teams
  • Monitor and manage live models, taking initiative to refit and calibrate to latest experience
  • Work closely with data warehousing and data engineering teams to ensure access to necessary data for current and future projects
  • Manage data science team members, ensuring alignment with departmental and business-wide vision and strategies
  • Gain a deep understanding of the company's data assets to inform project identification and selection
  • Draft and present reports to senior management on project performance

What you bring:

  • Proven experience developing and deploying impactful machine learning applications in a commercial environment
  • Experience leading a high-performing data science team
  • Experience developing and deploying models in a cloud-based environment
  • Strong communication skills, able to communicate at all levels of the organisation, across technical and non-technical audiences
  • Proven experience identifying high-impact projects, building a business case for those projects, and getting buy-in for their delivery
  • Good appreciation of software engineering best practices
  • Fluency in Python and SQL

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