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Data Science Manager
Compare the MarketData Science Manager leading a team building predictive AI systems to assist financial decision-making. Overseeing production responsibilities and driving intelligence in commercial partnerships.
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Lead your team in building predictive systems that run continuously
- Design and oversee automated workflows
- Shape how your team approaches AI-powered systems
- Ensure every model connects to a real outcome
- Set the standard for modelling quality
- Take ownership of model performance in production
- Be hands-on in design sessions
- Guide your team through fast-moving tooling landscape
- Champion responsible, auditable AI
- Encourage and model the use of AI-assisted development tools
- Work closely with commercial, product, and engineering leads
- Develop your data scientists through regular feedback
- Contribute to hiring
Requirements
What you’ll need- Experience leading data science teams and delivering ML solutions that run in production
- Strong Python and modelling fundamentals
- A track record of taking models beyond the development environment
- Direct experience of model production responsibilities
- Clear communication; able to make technical work legible to commercial and product audiences
- Experience with MLflow, model registries, Databricks, or similar ML lifecycle and platform tooling
- Hands-on experience with LLM-based systems
- Familiarity with multi-step AI patterns
- Understanding of experimentation at scale
Benefits
Comp & perks- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningmodel productionmodelling fundamentalsAI-assisted developmentLLM-based systemsmulti-step AI patternsexperimentation at scale
Soft Skills
leadershipcommunicationteam developmentfeedbackownershipresponsibilitycollaboration