Locations: Bristol, Norwich, York
Hours: Full time, permanent with two-year development programme
Work type: Hybrid
Salary: £34,200
The opportunity
Data helps us understand the world around us, make better decisions and create better experiences for our customers. At Aviva, you'll use data, analytics and AI to solve real business challenges, uncover opportunities and help shape the future of one of the UK's leading insurers.
Whether you're interested in data science, analytics or engineering, you'll work with large and complex data sets to turn information into meaningful insight. From helping us tackle fraud and understand climate risk to improving customer experiences and supporting smarter decisions, you'll see the impact of your work firsthand.
If you're studying a highly numerate or technology-focused subject, enjoy solving problems and are excited by the possibilities of data, analytics and AI, this could be the pathway for you.
Whatever path you choose, you'll work on live projects, learn from experienced colleagues and help deliver even better experiences for millions of customers.
“I'd honestly say joining Aviva is one of the best career decisions I've made. The culture is fantastic, with a genuine focus on helping people grow and succeed. I love the autonomy we're given to take ownership of our work, explore new ideas and make a meaningful impact, while still having the support of a collaborative team around us. It’s also great to work for a company that embraces innovation and values inclusive teams. ”
Current Graduate
The roles
Our Data Science & Advanced Analytics roles are based in Bristol, Norwich, York. You may need to be flexible on location and willing to relocate if needed. We believe some of the best collaboration, learning, and relationship building happens when people come together in-person. That's why our colleagues spend around 50% or more of their working time in the office. We call this Smart Working. For most colleagues, that means spending around three days a week in the office and the rest working from home, although this varies by role and team.
Data Science & Advanced Analytics (Bristol, Norwich, York) - you'll turn data into insights that help shape important business decisions across Aviva. Working with teams such as Pricing, Underwriting and Product Governance, you'll use tools like Power BI and Qlik to uncover trends, understand risk and support better outcomes for our customers. You'll explore how emerging technologies, including AI, can help solve business challenges, improve decision-making and create smarter ways of working. If you're curious, analytical and enjoy solving problems, this could be the role for you.
The company
We help millions of customers across the UK, Ireland and Canada protect what matters most to them and plan for their future. Whether it's supporting someone after an accident, helping families feel financially secure, or finding better ways to prepare for tomorrow, our work has a real impact on people's lives.
But we're not just here to solve today's challenges. We’re also investing in technology, data and AI to transform the way we work and deliver even better experiences for our customers.
For you, that means the opportunity to be part of a business that's constantly evolving, bringing fresh ideas to life and making a real difference to millions of people every day.
The Early Careers Development Programme
From day one, you'll become part of a community of graduates and apprentices from across the business. During your first two years with us, alongside your day job, you'll take part in our Early Careers Development Programme.
Designed to complement your on-the-job learning, it combines structured development, networking and hands-on experiences to help you broaden your perspective and connect with people from across the business.
You'll learn alongside other graduates and apprentices, gain exposure to senior leaders and develop a broader understanding of the business.
What we’re looking for
You'll already have, or be on track to achieve, a degree in Computer Science, Machine Learning, Data Science, Business Intelligence, or another highly numerate or programming-related subject by the end of summer 2027 and be ready to start your career with us full-time in September 2027.
As well as being:
- curious and keen to learn
- interested in data, technology and innovation
- analytical and detail-oriented
- a confident problem-solver
- a strong communicator.
Visa sponsorship isn’t available. To apply you’ll need to have indefinite right to work in the UK. If this applies to you, we’d love to hear from you.
What you’ll get
- £34,200 salary, plus discretionary bonus, employee discounts and access to our Share Save scheme
- 29 days' holiday plus bank holidays
- Flexible working, wellbeing support and paid volunteering days, helping you maintain a healthy work-life balance
- A two-year Early Careers Development Programme, helping you build the skills, confidence and connections to succeed in your career
How to apply
Our applications close on 1 December 2026. If we receive lots of great applications, we may close them sooner, so we’d encourage you to apply early. You can only apply for one pathway, so take some time to explore your options and choose the one that best matches your interests and strengths.
You'll be able to tell us if you need any additional support or reasonable adjustments during your online application.
Each stage of our application process is designed to bring out the best in you. Below is a step-by-step guide on what to expect for each pathway.
- Online application
- Online situational strengths and numerical reasoning tests
- Video interview and AI literacy assessment
- Online Coding test
- Virtual assessment day
You’ll meet some of the team, get a feel for what it’s like to work here and show us what you’re all about. If you’re successful, you’ll get an offer to start in September 2027.
We welcome applications from people with different backgrounds, experiences and perspectives because we know diverse teams make us stronger.
We're interested in people with potential, curiosity and a willingness to learn. So, if you're excited by the opportunity but don't meet every requirement, we'd still love to hear from you.