Senior Data Scientist - International BAU & Operations
London Hybrid Working Model
6 Months Contract + Extension
£400 to £450 Inside IR35
A fast-growing, high-impact international organisation is seeking a hands‑on Senior Data Scientist to take ownership of the day‑to‑day analytics engine and machine learning models for an established international platform across the UK and Canadian markets.
Key Responsibilities
Maintain, retrain, and troubleshoot existing live ML models (credit, recommendation, and ranking logic).
Monitor model health and drift, ensuring operational stability without needing to rebuild underlying architectures.
Monitor the UK/CA revenue baseline, investigate sudden anomalies, and triage operational gaps across partner feeds, email campaigns, and retargeting systems.
Oversee live tests, analyze performance reads, and make confident promotion and rollout decisions for marketing and product initiatives.
Rapidly triage pipeline breaks, tracking gaps, and partner feed issues to maintain data integrity across the International ecosystem.
Handle time‑sensitive data extraction requests‑including FCA regulatory returns, DSARs (Data Subject Access Requests), Right to Be Forgotten (RTBF) pulls, and complaint data‑frequently under same‑day or next‑morning deadlines.
Serve as the central data owner partnering directly with Product, Marketing, Engineering, Business Development, Compliance, and Member Support teams.
Essential Requirements
5+ Years Experience: Hands‑on Data Science & Analytics within B2C, FinTech, Consumer Tech, or E‑Commerce.
Core Stack: Advanced SQL & Python (or R) to maintain existing codebases and pipelines.
Production ML: Proven expertise in retraining, monitoring, and debugging live ML models.
BAU Operator: High autonomy to own daily operations and deliver under tight deadlines.
Cloud & BI Stack: Practical exposure to GCP (BigQuery), Airflow, or Looker.
AI Tooling: Familiarity with Claude Code, OpenAI, Cursor, or agentic workflows to accelerate delivery.
Compliance & Domain: Prior experience with FCA reporting, DSARs, or time‑sensitive regulatory data pulls.
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