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)
2. Hands-on experimentation experience (A/B testing, power analysis, precision/recall)
3. 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.