Job Title: Data Scientist (Modelling & Insight)
Location: Manchester (hybrid working)
Role Overview
Markerstudy Group are looking for an experienced Data Scientist to join a fast growing company in developing ambitious solutions across a range of insurance lines, by leveraging vast data assets and state-of-the-art processing capabilities.
As a Data Scientist, you will use your advanced analytical skills to directly influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and advanced analytics.
- Deliver outstanding and actionable customer insights
- Have responsibility for providing insights and support the building data products that helps shape Markerstudy’s strategic roadmaps and customer propositions
- Support the delivery, maintanence and ongoing support of the Data Insight and Enrichment integration strategy across the group
- Work collaboratively with other areas to increase overall company performance
Your ideas and solutions will enable improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market.
As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value.
Key Responsibilities:
- Lead the delivery of high-impact analytics and modelling projects to support strategic decision-making.
- Proactively identify and deliver innovative, data-led opportunities that drive measurable business impact
- Act as a subject matter expert in analytics and data science, providing technical guidance.
- Coach and mentor junior analysts, reviewing code and outputs to ensure quality and consistency.
- Maintain robust technical documentation and ensure compliance with data governance and regulatory standards.
- Support cross-functional initiatives such as the Trading Transformation Programme as a technical expert.
- Collaborate with stakeholders across pricing, marketing, and insurer relations to embed insights into business processes.
- Comply with all regulatory obligations with regards to customer data, competition law and other relevant guidance/ legislation.
Key Skills and Experience:
- Previous demonstratable Data Science / Analytics Experience ideally within insurance or financial services.
- Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science).
- Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context.
- Advanced SQL and experience with Python and/or R.
- Strong communication and storytelling skills, with the ability to translate complex data into actionable insights.
- Experience reviewing the work of junior analysts.
- Ability to work independently, manage multiple priorities, and proactively share insights.
- Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals!
- Resilience, can work independently to deliver projects
- Proactively share insights, results and identify risks, without prompting
- Proficient at communicating results in a concise manner both verbally and written
Desirable
-
- Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research)
- Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric).
- Familiarity with MLOps practices and version control tools (e.g. Git).
- Experience with deployment and maintenance of ML models in production environments.
- Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation.