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Who are we?👋
Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers' legs.
Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.
Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years.
Ki's teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons.
Where you come in?
Join our People Team and gain hands on experience across the full spectrum of Human Resources (HR) activities, including Reward, People Operations, Learning & Development and People Analytics.
You'll be using people data and technology to improve our colleagues' experience and support business decision making. This will all be while building valuable technical skills through a Level 3 Data Citizen Apprenticeship.
What you'll be doing:
- People Data & Systems: Maintaining accurate employee information, building reporting and dashboards, learning how data informs business decisions.
- Reward & Benefits: Contributing to the team's cyclical activities while handling employee information accurately and confidentially.
- People Operations: Supporting employee processes, responding to queries and assisting with onboarding, payroll and people administration activities.
- Learning & Development: Helping coordinate learning activities, maintain training records and support employee development initiatives.
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Requirements
This role will be right for you if:
- You don't need to have prior experience with HR or data. We're looking for someone with potential, emotional intelligence and a genuine interest in working with data.
- You'll be working with experienced colleagues who will help you build confidence, develop new skills and grow.
- We'd love it if you:
- Enjoy working with data, recognising patterns and understanding what it's telling you.
- Are naturally curious and ask questions to understand problems better.
- Pay close attention to detail. You take pride in getting things right!
- Enjoy using technology and are keen to build your confidence with digital and data skills.
- Feel comfortable working with numbers or spreadsheets.
- Are positive and willing to ask questions when you need help.
- Want to grow and develop throughout your apprenticeship.
To qualify for this role, you'll need to:
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- Be at least 18 years old on 1 September 2026
- Have a minimum of five GCSEs with grades 9 to 4 (A* to C), including English and Maths.
- Have 3 A Levels or equivalent qualifications at grade C or above. These grades can be predicted, but any offer made to you will be conditional upon successful achievement of these qualifications.
- You must NOT already have a qualification in a similar subject at the same or higher level than this Apprenticeship.
Benefits
You'll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals.
What to expect during the recruitment process:
- Initial Chat: A member of our recruitment team will reach out to discuss your application, confirm a few key details, and answer any questions you have about the role.
- First Interview: You will have a conversational interview with your potential hiring manager, our Reward & Data Lead.
- Skills Assessment: If shortlisted, you will be invited to complete a straightforward online skills assessment to showcase your potential.
- Final Interview & Presentation: In this last stage, you will present your assessment findings back to us and get the opportunity to meet some of the wider team.
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