Senior Data Scientist

• Monitor our International revenue baseline across the UK and CA, investigate anomalies, and provide early warning on revenue movement
• Support partner monitoring and escalations, including new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changes
• Run email campaign and performance monitoring, including anomaly investigation, re-targeting, send-failure triage, and churn-driver analysis
• Support experimentation and testing through experiment monitoring, reads, and promotion calls
• Handle member support and regulatory pulls, including 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, translating technical detail for business partners
• Maintain our current suite of production models through scheduled refreshes, retraining, and redeploys
• Run data quality checks on model inputs and pipelines, and triage feed and pipeline issues
• Hand over models, pipelines, and reporting with monitoring and documentation to the permanent team at contract close

Technologies:

• AI
• Support
• Marketing
• Python
• SQL
• Claude Code, We are an award-winning global SaaS company seeking an experienced, hands-on Senior Data Scientist for an International (UK and CA) run-the-business analytics and data science role. This is a 6-month contract with hybrid working and the potential to extend. You will work closely with product, marketing, engineering, business development, compliance, and member support, taking ownership of existing BAU processes end to end with minimal support while staying reliable under real deadlines. The role offers hybrid working, an award-winning work environment, a global organisation, and free breakfast.

• 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 skills; comfortable reading and maintaining an existing codebase and pipelines
• Hands-on experience maintaining production ML models, including refresh, retrain, monitor, and troubleshoot, rather than building from scratch
• Experience with model performance monitoring and data quality
• Excellent written and verbal communication skills
• Advanced degree in a quantitative discipline such as Computer Science, Mathematics, Statistics, Physics, or similar, or equivalent experience
• Preferred: experience using AI tools to automate day-to-day work and comfort with agentic workflows
• Preferred: prior contract or consulting experience delivering BAU to fixed timelines
• Preferred: comfortable working cross-functionally across product, marketing, BD, compliance, and member support