At a Glance
- Tasks: Gain hands-on experience in HR activities and work with people data to enhance workplace culture.
- Company: Join Ki, a pioneering tech-driven insurance company transforming a 335-year-old industry.
- Benefits: Competitive salary, recognition for efforts, and a supportive learning environment.
- Other info: Dynamic apprenticeship with opportunities for personal and professional growth.
- Why this job: Be part of a fast-growing team and develop valuable skills in data and HR.
- Qualifications: No prior experience needed; just a passion for data and a willingness to learn.
The predicted salary is between 19350 - 23650 £ per year.
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 and the fastest growing syndicate in the Lloyd's of London market, being 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 while building valuable technical skills through a Level 3 Data Citizen Apprenticeship.
What you’ll be doing:
- You’ll work closely with different parts of the People Team, developing an understanding of how people data helps inform what we do to create a positive, productive and rewarding culture and workplace for Ki’s colleagues.
- 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.
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 and 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:
- 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.
Data-Driven People Analytics Apprentice in London employer: Ki
At KI, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. Located in a dynamic industry, we offer competitive remuneration, comprehensive benefits, and ample opportunities for professional growth, ensuring that our team members can thrive while contributing to the future of insurance technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data-Driven People Analytics Apprentice in London
✨Get Involved in Data Science Communities
Dive into online forums like Kaggle or GitHub where data science enthusiasts hang out. Participating in competitions or contributing to open-source projects can really make you stand out and show off your skills!
✨Tap Into University Resources
Your uni career services are gold mines for apprenticeships! Attend any workshops or career fairs they host; you might just bump into employers looking to scout fresh talent for programmes like the one at Ki.
✨Work on Real-World Data Projects
Create your own data science projects or collaborate with classmates on interesting datasets. This not only sharpens your skills but also gives you something to showcase during interviews, setting you apart from the competition.
✨Show Off Your Passion
Don’t just rely on formal applications! Write blog posts about your data science journey or share insights on social media. This can catch the eye of Ki and show them you’re genuinely passionate about the field.
We think you need these skills to ace Data-Driven People Analytics Apprentice in London
Some tips for your application 🫡
Show Off Your Relevant Skills:For a data science apprenticeship, make sure to highlight your skills in statistics, programming (especially Python or R), and data visualisation tools. Mention any relevant projects or coursework where you've applied these skills, even if it’s just in a school setting!
Tailor Your Motivation:In your cover letter, focus on why you want to dive into data science specifically. Share how this apprenticeship aligns with your career goals and learning aspirations. Remember, this is about showing us at Ki that you're eager to learn and grow in the data field!
Portfolio Power!:Even if it's an apprenticeship, having a small portfolio of your data projects can set you apart. Include any analyses, visualisations, or data science-related tasks you’ve completed, whether on your own or as part of your studies. This shows that you've got hands-on experience, which is super appealing.
Keep It Relevant and Concise:Your CV should be focused and relevant – keep it to one page if possible! Tailor it for the data science role by including specific coursework, skills, and any experience with data handling. If you’ve done any data-related activities in clubs or competitions, throw those in too—every bit counts!
How to prepare for a job interview at Ki
✨Brush Up on the Basics
Before your interview with Ki, we need to nail down the fundamentals of statistics and machine learning. As an apprenticeship candidate, they’ll be keen on your understanding of key concepts—so make sure you can talk about linear regression, classification, and maybe even some hands-on work with tools like Python or R.
✨Showcase Your Projects
Bring any portfolios or projects you've worked on that highlight your data analysis skills. Even if they're for school or personal projects, being able to demonstrate how you approached a problem, analysed data, and derived insights will give you a leg up. Don't just talk about the data—show them what you've done with it!
✨Get Comfortable with Technical Questions
Expect some technical questions that test your problem-solving skills! You might be asked to explain how you would approach a specific dataset or solve a classic data challenge. Practise explaining your thought processes clearly, as this will showcase your analytical abilities as well as your ability to communicate complex ideas.
✨Emphasise Your Willingness to Learn
As an apprentice, your eagerness to learn is your biggest asset. Be prepared to discuss what you're looking to gain from the apprenticeship at Ki. Whether it's mastering new programming tools or applying theoretical knowledge to real-life problems, let them know you're all about growing your skills and contributing to the team!