Data Scientist - #2190954

Role: Data Scientist

Type: Hybrid

Location: Leeds

As a Data Scientist, you'll take on a high-impact role, acting as a critical thinker and problem solver within a leading insurance business. You'll apply your technical expertise and innovative thinking to tackle complex challenges, identify opportunities and influence data driven decision making across the business.

You'll work across a variety of business functions, managing multiple priorities and delivering everything from ad hoc analysis through to predictive and prescriptive models. Your work will contribute directly to developing the organisation's data culture and enabling evidence-based decisions in a fast-paced, evolving environment.

A key part of the role will be communicating the commercial value of your analytical solutions, ensuring that insights translate into meaningful business outcomes.

You'll join an established, award winning data team with a strong track record of innovation, including delivering pioneering AI driven solutions within the insurance market. The team is committed to exploring new technologies and applying data science to solve real-world business challenges.

Key Responsibilities

• Apply industry standards, emerging methodologies and empirical research to develop meaningful business insights and support strategic decision-making.
• Deliver end to end data science solutions, from understanding complex business challenges and designing analytical approaches through to development and implementation.
• Work with a variety of datasets, including large and small internal and third-party data sources.
• Apply machine learning and Generative AI techniques to identify opportunities, solve business problems and improve decision-making.
• Collaborate with data scientists and wider technical disciplines, including engineering, product and business teams.
• Work closely with the wider data and analytics community, sharing knowledge and contributing to the delivery of business value through analytics.

Technical Skills & Experience

• Strong understanding of statistical analysis, machine learning and wider data science techniques.
• Experience using Python and SQL for data analysis, modelling and problem-solving.
• Working knowledge of Generative AI technologies, including Large Language Models (LLMs), prompt engineering, AI-assisted development tools and agentic AI workflows.
• A solid grounding in statistical concepts and their practical application.
• An interest in emerging data science, machine learning and AI technologies, with a willingness to continually develop technical knowledge.
• Experience working within small, cross-functional teams to deliver analytical and data science projects.
• Strong communication and presentation skills, with the ability to explain complex technical concepts and analytical findings to both technical and non technical stakeholders.
• An appreciation of software engineering best practices, including version control, testing, code reviews and reproducible development workflows
• Exposure to cloud platforms, ideally Google Cloud Platform (GCP), would be beneficial.
• Previous experience within insurance or financial services would be advantageous, but is not essential.

Equal Opportunity Statement

SPG Resourcing is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of the workforce we hire. We offer reasonable accommodation at every stage of the application and interview process.