
Lead Data Scientist, Commerce Revenue Protection (13 month Fixed Term Contract)
- London
- Contract
- Full-time
- Lead and support a distributed team of data scientists, guiding their day-to-day work, setting priorities, and encouraging a collaborative, high-performing team culture.
- Balance leadership and people management responsibilities with individual contribution. As part of a small, focused team, you'll remain hands-on in delivering analyses and driving core initiatives.
- Apply your domain knowledge in payments and fraud to inform detection strategies and partner with stakeholders to evolve Spotify's fraud & misuse mitigation approaches.
- Leverage your deep expertise in machine learning to inform model development, evaluation, and performance monitoring.
- Monitor and communicate key performance indicators to track the impact of Revenue Protection initiatives and surface emerging risks and opportunities to business partners.
- Translate data into strategy by assessing the business impact of new initiatives and threats, ensuring the team's work is aligned with high-impact opportunities.
- Influence and partner cross-functionally, collaborating closely with Engineering, Product, and Business stakeholders to implement solutions and drive improvements.
- Communicate clearly and effectively, presenting data-driven insights and recommendations to technical and non-technical audiences, including leadership.
- 5+ years of experience in data science, including experience in the fraud prevention domain.
- A degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or another quantitative field.
- Proven leadership experience, either as a people manager or mentor, inspiring others and shaping project direction.
- Hands-on expertise with machine learning, including applying ML to real-world fraud prevention or misuse detection problems.
- Proficient in Python and SQL. Experience with Google BigQuery is a plus.
- Familiarity with dashboarding and data visualisation tools such as Looker, Tableau, or similar.
- A strong problem-solver who thrives at the intersection of business and data, with the ability to think strategically and act tactically.
- Comfortable with ambiguity and able to take initiative. Capable of owning loosely defined problems and turning them into concrete, impactful solutions.
- A thoughtful communicator who builds trust and alignment across functions, and who values collaboration in a fast-paced environment.
- Someone looking to step into a leadership role or grow as a leader. Whether you're a Senior Data Scientist ready to gain formal people management experience, or a current Lead who's eager to stay hands-on while driving impact in a new team.
- This role is based in London.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.