Senior Data Scientist
Executive Facilities
London, UK
2 days ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£104,000.0 - £117,000.0
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Python (Programming Language)
Machine Learning
Recommender Systems
Standard Sql
Information Technology
Performance Monitor
Codebase
Job description
You will work closely with product, marketing, engineering, business development, compliance, and member support. This role suits an operator who takes over existing BAU and runs it end to end with minimal hands-on support, staying reliable under real deadlines., * Monitor the International revenue baseline across the UK and CA. Investigate anomalies and give early warning on revenue movement
- Support partner monitoring and escalations: new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changes
- Run email campaign and performance monitoring: anomaly investigation, re-targeting, send-failure triage, and churn-driver analysis
- Support experimentation and testing: experiment monitoring, reads, and promotion calls
- Handle member support and regulatory pulls: DSAR and RTBF requests, complaint data, FCA regulatory returns, and marketplace-ranking monitoring, often against same-day or next-morning deadlines
- Represent analytics in forums and business reviews, and translate technical detail for business partners
- Maintain the current suite of production models: scheduled refreshes, retraining, and redeploys. Keep models healthy without rebuilding them
- Run data quality on model inputs and pipelines. Triage feed and pipeline issues
- Hand over models, pipelines, and reporting with monitoring and documentation to the permanent team at contract close
Requirements
- 5+ years of experience in data science and analytics, including running production models and BAU analytics
- Proven ability to pick up existing BAU processes quickly and deliver with low to no supervision
- Strong SQL and Python or R. Comfortable reading and maintaining an existing codebase and pipelines
- Hands-on experience maintaining production ML models: refresh, retrain, monitor, and troubleshoot, rather than building from scratch
- Experience with model performance monitoring and data quality
- Excellent written and verbal communication
- Advanced degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or similar), or equivalent experience, * Uses AI tools to automate day-to-day work (Claude Code, OpenAI, and similar) and is comfortable with agentic workflows
- Prior contract or consulting experience delivering BAU to fixed timelines
- Comfortable working cross-functionally across product, marketing, BD, compliance, and member support
Benefits & conditions
- Hybrid working (3 days in the office)
- Award winning work environment
- Global Organisation
- Free breakfast
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