This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We’re working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact.
Job Responsibility:
Lead a growing team of 6+ scientists embedded across product and functional teams
Set the technical direction and ensure alignment with company-wide OKRs
Drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production
Shape the data science strategy
Support the career growth of talented scientists
Deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance
Requirements:
Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations
Strong background in building and deploying ML models at scale in production environments
Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains
Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery
Engineering mindset, with experience moving teams toward machine learning engineering best practices
Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development