Job Title: Data Scientist (Modelling & Insight)
Location: Manchester (hybrid working)
Role Overview
Markerstudy Group is looking for an experienced Data Scientist to join a fast-growing company developing ambitious solutions across various insurance lines by leveraging extensive data assets and state-of-the-art processing capabilities.
As a Data Scientist, you will use your advanced analytical skills to influence insurer panel performance, ensuring our broking arm maintains a competitive edge through data-driven strategies and analytics.
* Deliver outstanding and actionable customer insights
* Provide insights and support the development of data products that shape Markerstudy's strategic roadmaps and customer propositions
* Support the delivery, maintenance, and ongoing support of the Data Insight and Enrichment integration strategy across the group
* Collaborate with other departments to enhance overall company performance
Your ideas and solutions will enable improvements to products, pricing, and processes, giving Markerstudy a critical advantage in the competitive insurance market.
As part of your career development in Data Science, you will further advance a wide range of modern statistical, machine learning, and data science methods. These skills will be applied to various business problems to add demonstrable commercial value.
Key Responsibilities
* Lead high-impact analytics and modeling projects supporting strategic decision-making
* 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 for quality and consistency
* Maintain 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
* Ensure compliance with all regulatory obligations regarding customer data, competition law, and relevant legislation
Key Skills and Experience
* Proven experience in Data Science or Analytics, ideally within insurance or financial services
* Strong academic background in a numerical discipline (e.g., BSc Mathematics, Computer Science, Data Science)
* Proficiency in statistical and machine learning techniques (e.g., logistic regression, clustering, GBMs) and their business applications
* Advanced SQL skills and experience with Python and/or R
* Excellent communication and storytelling skills to translate complex data into actionable insights
* Experience reviewing work of junior analysts
* Ability to work independently, manage multiple priorities, and proactively share insights
* Collaborative mindset, sharing findings, experience, and advice with the team
* Resilience and independence in project delivery
* Proactive in sharing insights, results, and identifying risks
* Strong verbal and written communication skills
Desirable
* Postgraduate qualification in a relevant field (e.g., Computer Science, Data Science, Operational Research)
* Experience with modern data platforms (e.g., Databricks, Snowflake, MS Fabric)
* Familiarity with MLOps practices and version control tools (e.g., Git)
* Experience deploying and maintaining ML models in production environments
* Experience mentoring junior analysts and fostering continuous learning and innovation
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