Data Scientist

ZipRecruiter; Salisbury; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading company in pet insurance is seeking a results-driven Data Scientist. This role focuses on leveraging data to inform pricing strategies and enhance customer outcomes. The successful candidate will develop machine learning models, conduct analysis, and work collaboratively to drive data-driven business decisions. Ideal candidates should have a strong background in data science and experience with statistical analysis and software development.

Qualifications

• Experience in insurance, particularly pet insurance or pricing is required.
• Ability to perform statistical analysis and experimental design demonstrated.
• Competency in SQL, scripting, and statistical/mathematical software.

Responsibilities

• Develop, validate, and deploy machine learning models to support pricing.
• Identify pricing opportunities through data analysis and experimentation.
• Collaborate with teams to embed insights into business decisions.
• Maintain predictive models and data pipelines in production.
• Conduct exploratory data analysis to uncover actionable insights.

Skills

Machine Learning

Statistical Analysis

SQL

Python

R

Education

BSc in Data Science, Statistics, Computer Science or equivalent

Tools

Power BI

Tableau

Git

Job description

Job DescriptionRole Summary

We are seeking a results-driven and inquisitive Data Scientist to join our team, focused on driving value and innovation in pet insurance pricing and analytics. This is an opportunity to make a measurable impact in a growing and dynamic market by leveraging data to inform pricing strategies, improve customer outcomes, and shape our product roadmap.

Responsibilities

• Develop, validate, and deploy machine learning models to support pricing, risk segmentation, and customer behavior analysis.





• Identify and evaluate pricing opportunities through data analysis, hypothesis testing, and experimentation.





• Collaborate with underwriting and product teams to embed data-driven insights into business decisions.





• Enhance and maintain predictive models and data pipelines in production environments.





• Conduct exploratory data analysis to uncover trends, anomalies, and actionable insights.





• Contribute to building a strong data science culture through peer review, knowledge sharing, and technical leadership.

Experience, Qualifications & Skills

• Attributes of a successful candidate





• You have experience in insurance, pet insurance, or pet insurance pricing





• You can build, test, deploy, and maintain machine learning models in a production environment (GLM, GBM)





• You have a demonstrated ability to perform statistical analysis and experimental design





• You are competent in SQL, scripting (e.g. Python), and/or statistical/mathematical software (e.g. R).

Nice to Have

• You have a BSc in Data Science, Statistics, Computer Science (or an equivalent field)





• You have experience using version control tools (E.g. Git)





• You have experience constructing, deploying, and maintaining dashboards using interactive data visualization tools (e.g. Power BI, Tableau)

What Success Looks Like

• You proactively identify and test new pricing levers that drive business value.
• You bring a rigorous, data-driven perspective to strategic discussions.
• Your models and analyses are robust, explainable, and actionable.
• You make measurable contributions to pricing accuracy and business performance.