Data Scientist

Data Scientist Location: London, UK (Remote) Contract Length: 4 Months Day Rate: Up to £400 per day (PAYE) We’re seeking an experienced Data Scientist for a high-impact contract role supporting a leading global tech organisation. This role sits within the Account Access team — the group responsible for safeguarding user access across major social platforms. You will play a critical role in understanding user behaviour, improving decision systems, and shaping how millions of users experience account recovery, appeal processes, and security features. You will also partner closely with the sister Manager Support team, who handle hacked and compromised account issues. A strong candidate is someone who brings a deep customer-first mindset, understanding user frustrations and designing data-driven solutions that minimise friction and maximise trust. What You’ll Work On • Driving product analytics to uncover behavioural patterns, risks, and optimisation opportunities. • Designing and evaluating experiments, including power analysis, precision/recall interpretation, and impact assessment. • Building clear, compelling data narratives for technical and non-technical teams. • Applying causal inference to understand the impact of product and policy changes. • Analysing account blocking patterns, investigating false positives/negatives, and evaluating trade-offs between security and user experience. • Partnering with engineering, measurement, and product teams to deliver data-driven recommendations. • Supporting continuous improvement for appeals workflows, compromised account processes, and system decisioning models. Required Skills & Experience 5–7+ years of experience in Data Science (flexible for strong profiles) Strong SQL skills (product analytics + large-scale data handling) Deep experience with experimentation frameworks (A/B tests, metrics, power analysis) Strong product analytics and user behaviour insights Causal inference expertise Ability to translate complex data into clear insights and storytelling Python proficiency Security knowledge is a plus (e.g., fraud detection, account integrity)