Summer Internship (Data & Tech) (Edinburgh, GB)

Contract type: Fixed Term Location: Edinburgh Summer Internship – Technology, Data and AI Royal London is the UK’s largest mutual life, pensions and investment company. We’re owned by our members and work for their benefit, not shareholder profits, and that makes us different. We're looking for creative problem-solvers who are passionate about technology, engineering, data and AI. Join our ten-week Summer Internship Programme and gain hands-on experience applying these skills to real business challenges, while helping to shape products and services that support our colleagues and customers.

With technology, engineering, data and AI embedded across every part of Royal London, placement opportunities span the full breadth of the Group. Tell us about your interests, strengths and aspirations in your cover letter and we'll do our best to match you to a placement where you'll continue to learn, grow and make an impact .

Competitive salary: £24,900 pro-rata Generous pension: double matching up to 14% Life assurance: up to 8x your salary 24/7 confidential support: health, legal and financial advice Hybrid working: with great office facilities and flexibility Dedicated support: from a People Leader and Buddy Learning & development: networking, training and mentoring Future opportunities: apply for permanent roles or our 2027/8 graduate intake What you’ll be doing You'll be part of a supportive, inclusive and collaborative team, contributing to meaningful work that makes a real difference for our customers, members and communities.

With support and coaching from your People Leader, you’ll gain hands-on experience of life at Royal London, take ownership of meaningful pieces of work and contribute to real business priorities. Depending on your placement, you could use technology, engineering, data and AI to help Royal London: Create better products, services and experiences for customers and colleagues Use data and insight to support decision-making and improve outcomes Respond to change, manage risk and meet legal and regulatory requirements

Improve efficiency, productivity and business performance through innovation and automation

Design, build and improve technology platforms, systems and solutions that support customers and enable the business to operate effectively Working alongside experienced colleagues, you'll develop valuable professional skills, behaviours and commercial awareness while building your confidence in the workplace. You'll collaborate across teams, analyse information, solve problems and contribute fresh perspectives, gaining exposure to how technology, engineering, data and AI are applied across a wide range of roles, disciplines and business areas throughout Royal London.

Throughout the ten-week programme, you'll also work as part of a wider intern cohort on a group project, bringing together your learning and insights to develop recommendations that you’ll present to senior leaders at the end of the internship.

Penultimate or final-year students from a technology, engineering, data, numerical or related degree discipline, such as Computer Science, Software Engineering, Cyber Security, Mathematics, Statistics or similar. We also welcome applications from students in other disciplines who can demonstrate a strong interest in technology, engineering, data and AI Comfortable using technology and digital tools to solve problems, analyse information and generate insights.

Experience with tools such as Excel, SQL, Python, Tableau, Microsoft Power Platform (Power BI, Power Apps and Power Automate), Jira, Confluence, Github, Azure DevOps, Copilot or similar would be beneficial Curious, adaptable learners who embrace change and new ways of working Strong communicators with excellent interpersonal and collaboration skills Organised self-starters who can manage multiple priorities and take ownership of their work Key dates & locations Start date: 14 June to 20 August 2027 (for 10 weeks) Locations: Edinburgh, Manchester and London

Assessment centres: January 2027 Please apply for your preferred assessment centre location and let us know in your cover letter if you’re open to other locations.

Include a short cover letter explaining: Why you’re a great fit for Royal London The strengths, experiences and perspectives you would bring The area of technology, engineering, data and AI that interests you the most and why Your placement interests and flexibility, including your preferred location. This application is for the Edinburgh assessment centre. While it’s great to see you utilising AI in your work, remember your personal touch and creativity are what make your contributions exceptional! We welcome applications from all backgrounds.

If you’re excited about this opportunity but don’t meet every requirement, we still encourage you to apply. At Royal London, your difference is our strength. We believe diverse perspectives make us better – for our people, our customers and our future. Even if you don't meet every single requirement, we encourage you to apply. We are dedicated to building a diverse and inclusive workplace, and your unique experiences and perspectives could be a great addition to our team.

About Royal London We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.

We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. Inclusion, diversity and belonging We’re an inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.

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