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# Senior Manager, Data Science

- **Company:** NewDay
- **Location:** Greater London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Open Source Technology, Operational Databases, Deep Learning, Virtual Agents, Software Version Control
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840621474-senior-manager-data-science

## About the Role

* Degree-level qualification in a highly analytical field (e.g., Data Science, Mathematics, Statistics, Economics, Quantitative Finance)
 * Demonstrated experience applying data science across areas such as product optimisation, personalisation, collections, fraud, or broader business optimisation
 * Strong end-to-end ownership of data science delivery, from problem definition to implementation
 * A hands-on background as a data scientist or modeler, with the ability to dive deep into technical detail when needed
 * Practical experience with modern data science tools, open-source technologies, version control, and collaborative development practices
 * Proven track record of shaping data science roadmaps, generating ideas, and building strong partnerships
 * Experience leading, and developing a team of data scientists or quantitative specialists, * Experience with Agentic AI tools and practices (e.g., Claude Code, Kiro, Codex)
 * Knowledge of advanced data science techniques such as deep learning or numerical optimisation
 * Experience coordinating complex cross-functional delivery, including close collaboration with MLOps teams
 * A track record of championing data science in emerging or previously unsupported business areas
 * Strong understanding of managing and evolving business-critical, production data science solutions

## Description

* Lead the full lifecycle of predictive modelling projects - scoping, planning, delivery, validation, sign-off, and ongoing ownership
 * Ensure all solutions meet the highest standards of governance, regulatory compliance, and technical rigor
 * Act as a proactive owner of deployed models, providing timely updates, insights, and improvements
 * Make concrete technical management contributions towards gold-standard data science capabilities
 * Create a positive, supportive, and high-performing team culture through people leadership and coaching


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