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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
  
  

• 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.
  
  

• 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
  
  

• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Banking

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