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
* Advanced SQL (product-oriented queries, large datasets)
* Hands-on experimentation experience (A/B testing, power analysis, precision/recall)
* 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.