Data Scientist

Thinkways Software Technologies Pvt. Ltd.; Manchester; Hybrid; GBP 125,000 - 150,000; Full time

Job summary

A leading insurance solutions provider in Manchester is seeking an experienced Data Scientist to leverage data for strategic decision-making and enhance competitive edge. You will lead impactful analytics projects and collaborate across departments. The ideal candidate has a strong background in Data Science, proficiency in SQL and Python, and excellent communication skills. This hybrid position offers significant career development opportunities.

Qualifications

• Proven experience in Data Science or Analytics, ideally in insurance or financial services.
• Strong academic background in a numerical discipline.
• Proficiency in statistical and machine learning techniques.

Responsibilities

• Lead high-impact analytics and modeling projects.
• Identify and deliver innovative, data-led opportunities.
• Act as a subject matter expert in analytics and data science.

Skills

Data Science

Statistical analysis

Machine learning

SQL

Python

Communication skills

Education

BSc Mathematics

Computer Science

Data Science

Tools

Databricks

Snowflake

MS Fabric

Job description

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