Data Scientist in London

Our client is a global specialist insurer known for its innovative approach to risk and commitment to leveraging technology and data to drive better business decisions. With a strong presence in international markets, the organisation focuses on delivering high-quality insurance solutions while continually investing in advanced analytics, AI, and data capabilities. The business promotes a collaborative, forward-thinking culture where data and technology play a central role in shaping strategy and delivering measurable value. Teams work across multiple functions to build impactful solutions that enhance underwriting, pricing, and operational decision-making.

Our client is seeking a Data Scientist to join a growing analytics team supporting decision-making across the London Market. This is a high-impact role where you will act as a critical thinker and problem solver, applying advanced analytics and innovative thinking to complex business challenges. You will work across multiple business areas, delivering both ad-hoc analysis and predictive or prescriptive models that support strategic and operational decisions. The role offers the opportunity to work with diverse datasets, apply modern machine learning techniques, and help strengthen the organisation’s data-driven culture.

As part of a multidisciplinary technical team, you will collaborate closely with data engineers, analysts, and business stakeholders to design and deliver scalable data solutions. This position is ideal for someone who enjoys turning complex data into actionable insights and communicating the business value of analytics.

• Develop analytical solutions that support business decision-making using industry best practices and emerging data science methodologies.
• Work across the end-to-end data science lifecycle, from understanding business challenges to designing and implementing analytical models.
• Analyse both internal and external datasets to generate insights and predictive capabilities.
• Apply machine learning, statistical modelling, and advanced analytics techniques to solve complex business problems.
• Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders such as pricing and underwriting teams.
• Communicate analytical findings clearly to non-technical stakeholders and demonstrate the value of data-driven solutions.
• Contribute to the development and maturity of analytics practices across the organisation.
• Support continuous improvement by exploring new analytical approaches and technologies.

• Degree in STEM (Science, Technology, Engineering, Mathematics) or a closely related discipline, or equivalent practical experience.
• Experience in data science, advanced analytics, or machine learning, or a strong interest in developing expertise in these areas.
• Strong understanding of statistics and quantitative analysis.
• Experience developing predictive or prescriptive models to generate business insights.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with version control systems, Agile methodologies, and modern development tools.
• Ability to work both independently and collaboratively within small teams.
• Strong written and verbal communication skills with the ability to present complex analytical findings clearly to stakeholders.

• Postgraduate degree in a relevant field such as Data Science, Statistics, or Machine Learning.
• Experience applying data science within financial services or insurance environments.
• Exposure to large language models, prompt engineering, or generative AI technologies.
• Experience working with cloud platforms such as Google Cloud Platform (GCP).
• Interest or experience in natural language processing (NLP) or computer vision.
• Knowledge of a wide range of machine learning techniques, from classical statistical models to deep learning methods.
• Understanding of software development best practices.

Competitive salary and performance-related incentives, pension contributions, generous annual leave allowance, flexible and hybrid working options, professional development and learning opportunities, collaborative and innovative working environment, opportunity to work on high-impact analytics projects within a global organisation.

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.