Data Scientist

Markerstudy Group; Manchester; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading insurance firm seeks a Data Scientist to leverage advanced analytics and drive business impact through data-driven strategies. The ideal candidate has a strong analytical background, expertise in machine learning, and proficiency in data visualization tools. This role involves leading high-impact projects and mentoring junior analysts in a hybrid working environment.

Qualifications

• Previous demonstrable Data Science / Analytics experience, ideally within insurance or financial services.
• Strong academic background in a numerical discipline.
• Proficiency in statistical and machine learning techniques.
• Experience with version control tools like Git.

Responsibilities

• Lead the delivery of high-impact analytics and modelling projects.
• Identify and deliver innovative, data-led opportunities.
• Act as a subject matter expert and provide technical guidance.
• Coach and mentor junior analysts, ensuring quality work.

Skills

Data analytics

Machine learning

SQL

Python

Communication

Education

BSc Mathematics

BSc Computer Science

BSc Data Science

Tools

Databricks

Snowflake

MS Fabric

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.