Data Scientist

Markerstudy Group; Greater Manchester; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading insurance company in Manchester seeks an experienced Data Scientist to leverage data for competitive advantage. In this hybrid role, you will lead analytics projects, mentor junior analysts, and apply advanced statistical methods to enhance business performance. Ideal candidates have strong backgrounds in data science and experience in insurance or financial services.

Qualifications

• Experience within insurance or financial services is preferred.
• Strong academic background in a numerical discipline.
• Proficiency in statistical and machine learning techniques.

Responsibilities

• Lead the delivery of high-impact analytics and modelling projects.
• Proactively identify data-led opportunities that drive business impact.
• Act as a subject matter expert in analytics and data science.

Skills

Data Science / Analytics Experience

Problem-Solving

Communication

Proficiency in SQL

Experience with Python

Machine Learning Techniques

Education

BSc Mathematics

Postgraduate qualification

Tools

Python

R

Databricks

Snowflake

Job description

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.