Data Scientist optimizing payments ecosystem for Preply, enhancing user experience through data - driven insights. Collaborating with teams to improve payment processes and fraud management.
About the role
- Lead Data Scientist responsible for building next-generation risk models at Zego, a company transforming motor insurance for good drivers.
Responsibilities
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Staff Data Scientist at Preply developing data strategies for product domains. Collaborating with executives to drive long - term strategy and experimentation frameworks.
BA
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