Lead Data Scientist, Product Analytics
Role details
Job location
Tech stack
Requirements
competency within Product Analytics. Responsibilities Conducting deep-dive analysis in your product domain to understand user behaviour Collaborate with Product, Machine Learning, Design, and Engineering to build an insight-driven product strategy with high-impact outcomes Influence the roadmap through data-based recommendations Define how we quantitatively evaluate success, set KPIs, and design tracking to measure what matters Conduct regular A/B tests and causal analyses to assess the impact of product changes on success metrics Build models of user segmentation, marketing attribution, customer lifetime value, etc. Work with Analytics Engineering to prioritise data modelling needs and contribute to the transformed data codebase What We're Looking For 5+ years of experience doing quantitative analysis within a digital product environment Experience conducting large-scale A/B experiments and interpreting results to drive product and business decisions Ability to define new product metrics
Benefits & conditions
from complex, unstructured data Excellent SQL skills Fluency in Python and its application in data analysis is a nice to have, but not essential Knowledge of statistics (e.g. hypothesis testing, regressions) Strong communication skills, with the ability to work fluidly across technical and non-technical teams Hands-on experience with BI tools (Looker, Mode, Tableau) and data workflow tools (dbt, Airflow) A bias for action and ownership-you're excited to build from scratch, own it end-to-end, and deliver value fast What You Get A competitive compensation package (base + equity) with termly reviews, aligned to our OKR planning cycles AX3 or AX4 level role AX3 banding: £74,266 - £96,126 Hybrid London or £69,699 - £90,657 UK Remote AX4 banding: £94,059 - £119,128 Hybrid London or £88,938 - £113,489 UK Remote Work at a fast-growing tech startup backed by top VC firms Balderton & EQT Ventures A clear progression plan with ongoing growth, new opportunities, and support Flexibility and a healthy balance to support doing your best work Global distribution with a hybrid option in London and occasional travel for those outside London Other Benefits Company-wide performance reviews every 4 months Generous pay increases for high-performing team members Equity top-ups for promotions 25 days annual leave + public holidays (+ an additional day per year up to 30) 6% employer-matched pension in the UK Private Medical Insurance, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years Regular socials and activities, online and in-person OpenAI subscription coverage Online mental health support via Spill Workplace Nursery Scheme And more Welcoming Everyone We strongly encourage applications from people of color, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know.