Graduate Data Scientist 2025

Type: Graduate
Region: London

LVGI have a new opportunity for a Graduate Data Scientist at one of our offices in London (Gracechurch Street), Bristol (University) & Bournemouth (Frizzell House).

About us

We build out fully operational machine learning products to solve the problems at the core of our business. You will be involved in all aspects of these machine learning projects, from liaising with business subject matter experts, to model building, evaluation, and deployment. You will also be involved in the development of new and innovative tools and techniques for use across the team through internal packages, innovation projects and university research partnerships.

The team structure is composed of smaller, focused stream-aligned agile teams. Each team works with different business areas and subject matter experts to achieve a mutual understanding of the business, challenges, and their needs. These stream-aligned teams are slowly rotated throughout the year to enable strong relationships with business areas, whilst giving our team the opportunity to develop through exposure of new data challenges and domain-knowledge problems.

To find out more about our Data Science team and the Partnership with Bristol University please see the link below: Data Science jobs – LV= GI careers

Your focus

• Develop machine learning solutions to address complex business challenges, collaborating closely with cross-functional teams.
• Support with the deployment of solutions into production environments, continuously monitoring and maintaining models to ensure robust performance and reliability.
• Understand and apply best practices within the team, including coding standards, version control and documentation.
• Stay up to date with the latest advancements in data science. Support innovation by contributing to new ideas, tools and methodologies to solve business problems.
• Communicate data science concepts and insights to technical and non-technical stakeholders clearly and actionably.
• Adhere to governance processes and ethical frameworks for all analytics solutions developed, driving good outcomes for customers.

Essential skills:

• A degree in Data Science, Mathematics, Computer Science, or another quantitative discipline, or qualified by experience.
• Good command of Python and use of pertinent libraries for data analysis and machine learning.
• An understanding of predictive modelling techniques used for classification and regression problems.
• Ability to present data science topics to non-technical stakeholders.
• Experience with data manipulation, cleaning and preparing datasets for analysis.
• Strong collaborative mindset with the ability to contribute to a positive and inclusive team environment.
• Problem solving skills.
• Committed to continual improvement in your technical skills over the lifetime of your career.

Desirable skills:

• Experience building tree-based ensemble models.
• Knowledge of code version control practices.
• Knowledge of API frameworks or cloud environments (such as Azure, AWS or Google Cloud)

Don’t meet every single requirement? – We are dedicated to building a diverse, inclusive and authentic workplace. If you’re excited about this role, but your past experience doesn’t align exactly with every qualification in the job description, we would still encourage you to apply. You might still be the right candidate for this or other roles.

Our Ways of Working

Do you need some flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen.

We are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive – your work life balance is important to us.

What we can offer you

Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from – so you can pick a package that’s perfect for you. We also offer flexible working options, global career opportunities across the wider LVGI Group, and fantastic career development and training. That’s on top of enjoying all the benefits you’d expect from the world’s number one insurance brand, including:

• 26 days’ holiday
• A competitive pension for which LV= will pay twice the amount you pay, up to 14%
• An annual bonus scheme based on company and personal performance
• A flexible benefits package (e.g. discounted retail vouchers, great value dental insurance)
• ElectriX EV salary sacrifice scheme
• A generous 25% discount off our general insurance products including home, pet and travel as well as up to 50% discount on your car insurance.

Our hiring process

We value your time and want to ensure a smooth and transparent hiring process. Here’s what you can expect:

Following the assessment centre, we will make our final decision and notify all candidates, providing feedback to all candidates who attended.

Diversity & Inclusion

At LVGI we value diversity and inclusion, demonstrated by our numerous accreditations; EDGE certified for gender inclusion, Women in Finance Charter, signatories of Business in the Community’s Race at Work Charter, and an Armed Forces Covenant gold standard employer.

We embrace neurodiversity and welcome applications from neurodivergent and disabled candidates, offering tailored adjustments to ensure your success.

We encourage our employees to advocate for their needs, whether it’s assistive technology, ergonomic equipment, mentoring, coaching, or flexible work arrangements.

Accessible Application for All

As part of the Disability Confident Scheme, we support candidates with disabilities or long-term health conditions through the Offer an Interview Scheme, for those meeting the essential skills for the role.

Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications.