Legal & General
Data Scientist
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Data Scientist – Group Data & Analytics
About L&G
Legal & General (L&G) is a leading UK financial services group and major global investor. Since 1836, we’ve been safeguarding people’s financial futures, striving for a better society while improving customer lives and creating value for shareholders.
We are one of the world’s largest asset managers, offering powerful asset origination capabilities. Our retirement and protection solutions include:
- Pension risk transfer
- UK and US life insurance
- UK workplace pensions and retirement income
Our Group Functions provide critical services across the business, requiring a diverse and talented team to enable collaboration and success.
Joining L&G means you’ll help improve customer lives, contribute to business growth, and make a meaningful impact daily.
Job Description
We’re looking for a Data Scientist to join our Group Data & Analytics team, where you’ll leverage data and machine learning to shape decision-making, enhance customer experiences, and drive smarter, more efficient ways of working.
You’ll work on various machine learning projects across HR, Finance, and Asset Management, with the opportunity to collaborate closely with our Generative AI team on innovative, forward-looking initiatives.
This is a collaborative role ideal for someone who enjoys translating complex data into practical insights and working with cross-functional colleagues.
Responsibilities
- Develop and deliver data science solutions, including generative AI, that support business decisions and drive value
- Work with diverse data sources to explore, integrate, and analyse large-scale datasets efficiently
- Build, test, and refine machine learning models for real-world applications
- Communicate insights clearly to both technical and non-technical stakeholders
- Create high-quality visualisations of analytical outputs and model results
- Collaborate with data and technology teams to productionise and automate solutions
- Ensure all work is well-documented, peer-reviewed, and meets high standards
- Provide subject matter expertise to support data-driven initiatives and customer outcomes
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Requirements
- Experience working with large or complex datasets and a detail-oriented approach
- Knowledge of a range of machine learning techniques and analytical methods
- Proficiency in programming languages such as Python, R, or SQL for data analysis and modelling
- Ability to manipulate data, engineer features, and prepare datasets for modelling
- Experience in gathering requirements and collaborating with stakeholders across disciplines
- Confidence in explaining technical concepts clearly and accessibly
- Familiarity with generative AI concepts (e.g., LLMs, tool-using agents, autonomous workflows) is beneficial but not essential
- Experience with low-code or pro-code AI agent frameworks (e.g., Copilot Studio, LangChain) adds value but not required
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Benefits
At L&G, we reward performance, behaviour, and contribution with a comprehensive package tailored to your needs—here’s what we offer:
- Performance-related bonus and incentivised share schemes
- Generous pension contributions
- Life assurance
- Healthcare Plan (permanent employees only)
- At least 25 days holiday + 26 days after 2 years’ service; buy/sell holiday flexible
- Competitive family leave policies
- Electric car scheme (through tax-efficient salary sacrifice, permanent employees only)
- Discounts on L&G products, high street retailers, and online services
- Net-zero carbon workplaces by 2030, supported by sustainable modern offices
About Working at L&G
At L&G, we believe in generating positive impact today while building a better future. If you join us, you’ll become part of:
- A welcoming, inclusive culture with opportunities to collaborate with diverse backgrounds and perspectives
- Leadership guided by integrity, focused on your growth and wellbeing
- Career development initiatives that help you develop and excel
We prioritise outcomes over attendance and are committed to flexible working. This includes part-time, term-time arrangements, and job shares, though some roles may have limited flexibility due to responsibilities. We’ll accommodate requests when possible.
You don’t need to meet every requirement. Instead, highlight your strengths, potential, and alignment with our purpose. We’d love to hear from you!
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