Lead Data Scientist
Zego
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
About the role
- Lead the building and scaling of next-generation risk models, overseeing everything from creative feature discovery and advanced modeling to robust pipeline deployment and long-term R&D strategy
- Establish a reliable Data Science workflow: clear guard-rails, templates, and documentation across the full project lifecycle
- Shorten the idea-to-production cycle: from first data pull to live rate change
- Foster a culture of collaborative experimentation: pairing Pricing, Data Science, Machine Learning Engineering & Systems Engineering
- Line management and mentorship: manage 2 Data Scientists and mentor members of the team and help them in their development
- Define coding standards and best practice, map common processes and establish playbooks for them
- Help decide on tooling used during the Data Science project lifecycle
Requirements
- Bachelor’s or Master’s degree in Statistics, Mathematics, Actuarial Science, Data Science or related field
- At least 5 years proven experience in insurance pricing and applied ML, including leading projects and people, with a particular focus on Data Science operations
- Strong Python programming skills, with experience in developing and maintaining analytics packages and tools. Familiarity with data science libraries such as pandas and scikit-learn
- Proficient in SQL, particularly with cloud data warehouses like Snowflake
- In-depth knowledge of GLMs and other machine learning algorithms
- Familiarity with cloud-based data platforms (we’re on AWS) and data visualisation tools (Looker, matplotlib, seaborn)
- Experience with version control systems (e.g., Git), CI/CD pipelines, and software development best practices in a data-intensive environment
- Excellent communication and project management skills, with a proven ability to work collaboratively across teams and present complex information in a clear, accessible way
- Care about documentation, reproducibility, and teaching others “the why” behind decisions
Benefits
- Market-competitive salary
- Private medical insurance
- Company share options
- Generous holiday allowance
- Annual flexible hybrid working contribution for travel or personal development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLGLMsmachine learning algorithmsdata science librariespandasscikit-learndata visualization toolsLookermatplotlib
Soft Skills
communicationproject managementcollaborationmentorshipleadershipdocumentationreproducibilitycreative feature discoveryexperimental cultureteam development
Certifications
Bachelor’s degreeMaster’s degree