Data Scientist

Company Description

Legal & General (L&G) is a leading UK financial services group and major global investor. 

We’ve been safeguarding people’s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders. 

We are one of the world’s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.  

Our Group Functions provide the services that all areas of the business need. This requires a talented and diverse team behind the scenes, who enable everyone at L&G to do what they do best.  

Joining us means helping to improve the lives of our customers and contributing to the success of the business every day. 

Job Description

Are you passionate about using data to solve real-world problems and drive innovation? We’re looking for a curious and collaborative Data Scientist to join our Group Data & Analytics team. This is a fantastic opportunity to contribute to impactful projects, develop your skills in machine learning and data engineering, and work alongside a supportive team that values diverse perspectives and continuous learning.

Whether you're early in your data science career or looking to build on existing experience, we welcome applicants from all backgrounds who are excited to make a difference through data.

What You’Ll Be Doing:

• Developing and delivering data science solutions with support from experienced colleagues
• Engineering and preparing data from varied sources for analysis and modelling
• Conducting exploratory data analysis to uncover insights and inform decisions
• Building and validating machine learning models to improve business outcomes
• Visualising analytical outputs and model results using best practice techniques
• Documenting work clearly and participating in peer reviews for quality assurance
• Supporting data initiatives that enhance customer experience and operational efficiency
• Adhering to governance standards and maintaining up-to-date documentation

Qualifications

Who We’Re Looking For:

• Holding a degree in a quantitative discipline or equivalent practical experience
• Demonstrating experience working with large datasets and strong attention to detail
• Applying machine learning techniques in commercial or research settings
• Using coding languages such as Python, R and SQL for data manipulation and modelling
• Understanding stakeholder needs and managing expectations effectively
• Collaborating across teams and building positive working relationships
• Familiarity with dashboarding tools like Power BI or Tableau (beneficial but not essential)
• Exposure to cloud platforms such as Azure or AWS (beneficial but not essential)

Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:

• The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes
• Generous pension contribution
• Life assurance
• Healthcare Plan (permanent employees only)
• At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
• Competitive family leave
• Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
• There are the many discounts we offer – both for our own products and at a range of high street stores and online
• In 2023, some of our workspaces were redesigned. Our offices are great spaces to connect and collaborate and have your wellbeing at the heart

Additional Information

At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all. 

If you join us, you’ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.

We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can. 

It doesn’t matter if you don’t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.