Location
London
Hours
Full Time
Salary
Negotiable
About the Role
We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Key responsibilities include working with complex data sets to solve problems using analytical and statistical approaches; applying technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies; identifying and measuring success through goal setting, forecasting, and monitoring key metrics; partnering with cross-functional teams to inform and execute product strategy and investment decisions; building long-term vision and strategy for programs and products; collaborating with executives to define and develop data platforms and instrumentation; effectively communicating insights and recommendations to stakeholders; defining success metrics, forecasting changes, and setting team goals; and supporting the development of roadmaps and coordinating analytics efforts across teams.
Experience
- 8+ years leading analytics work in an individual contributor capacity, collaborating with Engineering and cross-functional partners
- 5+ years experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
- Experience working effectively with and leading complex analytics projects across multiple stakeholders and teams including Engineering, PM/TPM, Analytics, and Finance
- Experience with predictive modeling, machine learning, and experimentation/causal inference methods
- 10+ years experience communicating analysis results to leadership teams to influence strategy
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact such as efficiency gains and quality improvements
- Demonstrated ongoing AI skill development including prompt/context engineering and agent orchestration
- Experience adhering to and implementing responsible, ethical AI practices including risk assessment, bias mitigation, and quality and accuracy reviews
About you
You are a strategic thinker with strong technical expertise and excellent communication skills. You thrive in collaborative environments and are passionate about using data to drive product innovation and business impact. You stay current with emerging AI technologies and are committed to ethical AI practices. You enjoy mentoring and guiding teams to leverage data-driven insights for decision making and product development.
Qualifications
- Master's or Ph.D. degree in a quantitative field preferred
- Bachelor's degree in an analytical or scientific field such as Computer Science, Engineering, Mathematics, Statistics, or Operations Research
- 10+ years of experience performing complex quantitative analysis in product analytics
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