Senior Data Scientist

Senior Data Scientist

Randstad Technologies Recruitment | City Of London, ENG, GB

Posted 19 days ago

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Description

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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