At a Glance
- Tasks: Collaborate with teams to tackle business challenges using AI solutions and develop scalable services in Python.
- Company: Acturis, a leading SaaS innovator in insurance technology with a vibrant culture.
- Benefits: Mentorship, clear career progression, regular feedback, and industry-recognised training.
- Other info: Flexible start dates and a commitment to diversity and inclusion.
- Why this job: Join a dynamic team where you can innovate and make a real impact from day one.
- Qualifications: 2:1+ in a STEM degree, strong A-levels, and excellent communication skills.
The predicted salary is between 28000 - 35000 £ per year.
At Acturis, innovation isn’t just part of our culture – it’s in our DNA. Our story began in 2000 in the garden shed of our co‑founder, Theo Duchen, who, alongside fellow former McKinsey partner David McDonald, set out to reinvent insurance technology. What started as a bold start‑up idea has grown into a global SaaS leader trusted by the industry. Today, over 100,000 users across 40+ countries rely on the Acturis platform. By working closely with brokers, insurers, and MGAs, we continue to shape the market and drive new standards across both personal and commercial lines. Acturis is recognised as a Great Place to Work® 2026 and maintains a collaborative, innovative, start‑up‑style culture as we scale globally. Over 90% of our hires come from graduate backgrounds, and we focus on creating long‑term value by operating in a sustainable and responsible way.
Day to day you will:
- Work with internal teams and clients to understand business challenges and identify opportunities to apply AI driven solutions, including LLMs and intelligent agents.
- Design and build scalable services in Python, contributing to the development of core applications and reusable solutions that benefit all Acturis customers.
- Support the development, testing and enhancement of machine learning and AI powered tools that improve how insurance professionals operate.
We offer mentorship from day one, a clear progression path, and real responsibility early on, because we’ve built an environment where graduates grow fast and make meaningful impact. You can expect:
- A transparent career structure, regular feedback, and 3 formal performance reviews annually.
- Opportunities to lead projects, manage resources, and mentor junior team members.
- Intensive onboarding, industry recognised training, and funded specialist courses as you progress.
You'll thrive here if you:
- Have (or expect) a 2:1+ in a STEM degree and strong A‑levels (AAB minimum, including an A in Maths).
- Are logical, analytical, organised, and quick to learn new concepts.
- Communicate confidently and enjoy working in a collaborative team environment.
We have a variety of join dates available for this role, and can offer both ASAP start dates and start dates up to the end of 2026.
Ready to apply your technical mind to real‑world challenges? Join Acturis and build a career where you’ll grow quickly, innovate boldly, and work alongside some of the brightest people in the industry.
The company is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.
If you will require any reasonable adjustments to be made at any stage throughout the recruitment process then please email so that we may accommodate them for you. Successful candidates will usually be contacted within 14 days of applying. Due to the high volume of applications we receive, we are unfortunately unable to inform unsuccessful applicants. Unfortunately, we are unable to offer sponsorship for this position at this time. Please keep an eye out on our Careers page for any updates regarding sponsorship.
Graduate Technical Business Analyst, Data & AI, London employer: Acturis Ltd
Acturis is an exceptional employer that fosters a vibrant and innovative work culture, perfect for graduates eager to make a meaningful impact in the tech-driven insurance industry. With a strong focus on employee growth, we offer mentorship from day one, a transparent career structure, and opportunities to lead projects, ensuring that you develop your skills while contributing to cutting-edge AI solutions. Located in London, our collaborative environment not only encourages creativity but also provides access to industry-recognised training and a clear progression path, making it an ideal place for ambitious individuals to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Technical Business Analyst, Data & AI, London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Acturis Ltd when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Acturis Ltd.
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Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Acturis Ltd’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Technical Business Analyst, Data & AI, London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Acturis Ltd, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Acturis Ltd aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Acturis Ltd
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
