Data Scientist

Data Scientist (Contract) – Product Analytics & Experimentation Location: UK – Fully Remote Contract Length: 4 Months Start Date: January 2026 About the Role We are partnering with a high-scale global technology company to hire a Data Scientist for a 4-month remote contract. This role sits within a team focused on account access, user appeals, and platform integrity for millions of users. You will work closely with product, engineering, measurement, and security teams to deliver insights that have a direct impact on daily and monthly active users, as well as overall platform safety. This is a fast-paced, product-focused analytics role that combines experimentation, user behaviour analysis, and data storytelling. Key Responsibilities • Lead product analytics to identify behavioural trends and opportunities for improving user access flows. • Design, run, and analyse experiments; guide teams on power analysis, metrics (precision/recall), and testing frameworks. • Translate complex data into clear, actionable insights for cross-functional partners. • Use causal inference methodologies to evaluate the impact of product and policy changes. • Partner with engineering, product managers, and security teams to understand reasons for account blocks, identify trade-offs, and improve appeal systems. • Support two core areas: • Actor Appeals – analysing mistakes in automated blocking systems. • Content Appeals – improving clarity and fairness for users challenging decisions. • Work with a sister team that supports hacked account recovery and user safety. What Makes This Role Unique • Your insights directly influence platform trust, user safety, and key engagement metrics used in quarterly business reporting. • Opportunity to work within a large-scale, consumer-facing tech environment with billions of interactions. • Exposure to highly cross-functional, product-led workflows. Top 3 Must-Haves 1. Advanced SQL (product-oriented queries, large datasets) 1. Hands-on experimentation experience (A/B testing, power analysis, precision/recall) 1. Strong product analytics mindset (user journey understanding, problem framing, decision-making) Experience Level: 5–7+ years (flexible as long as skills align) Candidate Profile You thrive in user-centric problem solving, can navigate ambiguity, and enjoy partnering with cross-functional groups to define next steps. You understand the trade-offs between safety, access, and user experience, and can communicate insights clearly to both technical and non-technical partners. Candidates with a pure ML research background (not product or experimentation-focused) may not be the best fit.