Chief Data Science Director

2 weeks ago

London, Greater London, United Kingdom Kingfisher Full time

We are Kingfisher, a leading home improvement company with a diverse portfolio of brands, including B&Q, Screwfix, and Castorama. Our mission is to become the largest community of home improvers in the world, ensuring all colleagues, future colleagues, and applicants are treated equally regardless of their background.

We offer flexible working arrangements, allowing our colleagues to work from home or our offices in London, Southampton, and Yeovil. This flexibility enables us to attract top talent and create a productive work environment.

We are seeking an exceptional Chief Data Science Director to join our Data Science team, responsible for leading the research and development of ML/AI services. You will be instrumental in building, leading, and nurturing a high-performing data science team that drives commercial goals.

The role involves:

  1. Implementing data science projects and approaches to support business objectives.
  2. Developing a highly skilled team of Machine Learning Engineers, promoting collaborative ways of working.
  3. Collaborating with tech, product, and data teams to develop data platforms that enable the application of data science and embedding it directly in our products and processes.
  4. Supporting diverse teams in translating between business and data in project design and communicating results.
  5. Championing the application of data science across the Kingfisher group.
  6. Contributing to developing a 'data culture' and demonstrating its value in decision-making.
  7. Leading efforts to develop the data science brand for both internal and external audiences.

To succeed in this role, you will need:

  • A proven track record of delivering high-quality AI-based products and productionising Machine Learning-based products.
  • Experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP).
  • An excellent understanding of classical Machine Learning algorithms.
  • Strong knowledge of SQL and Python's ecosystem for data analysis.
  • Strong software development skills, with Python as the preferred language.
  • Proven experience in deploying ML/AI services using Kubernetes & KubeFlow.
  • Strong management and leadership skills, with previous experience managing a team.
  • Excellent influencing, communication, and stakeholder management skills.

Our benefits package includes a competitive salary (£95,000 - £110,000 per annum) and opportunities for career growth and development. We prioritize diversity, equity, and inclusion, striving to create a welcoming environment for all colleagues. Be part of our journey towards becoming the leading home improvement company

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