Data Science Lead - HX Insurance Model

Job Description

Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.

Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment.

Data Science Lead

Upto £1,000/day PAYE | Initial 6-Month Contract

Join a leading global insurer undergoing a major data and analytics transformation. This is an opportunity to play a pivotal role in modernising data science capabilities, influencing strategic business decisions, and delivering high-impact analytical solutions across a large-scale enterprise environment.

The Role

We're looking for a Data Science Lead to drive the development and deployment of advanced analytics and predictive models that support business growth, pricing, fraud detection, customer retention, and operational efficiency.

You'll work closely with senior stakeholders, analytics teams, and offshore delivery partners to identify opportunities, shape data science strategy, and ensure the successful delivery of business-critical initiatives.

Key Responsibilities

• Lead the design, development, and deployment of advanced analytical and machine learning models.
• Partner with business and technology stakeholders to translate complex challenges into data-driven solutions.
• Drive the modernisation of data science practices, tools, and methodologies.
• Oversee model performance, governance, documentation, and regulatory compliance.
• Manage and mentor data scientists while collaborating with offshore analytics teams.
• Present insights and recommendations to senior business audiences.

Essential Experience

• Proven experience leading data science projects in large, complex organisations.
• Strong Python and/or HX modelling experience.
• Track record of delivering models that drive measurable commercial outcomes.
• Expertise in predictive modelling, machine learning, and statistical analysis.
• Experience working with large-scale structured and unstructured datasets.
• Strong stakeholder management and communication skills.

Desirable

• Insurance or financial services experience, ideally within pricing, underwriting, fraud, or claims.
• Experience with Spark, Hadoop, NoSQL, or modern big data platforms.
• Agile delivery experience and collaborative software development practices. xwzovoh
• Experience leading analytics teams and driving organisational change.

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