hyperexponential - Technology Graduate Programme
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Requirements
• Developed strong technical foundations in Python, with experience writing code for data analysis, automation, small projects, or academic coursework that demonstrates real problem-solving ability • Shown curiosity about AI and automation, through experimentation with LLMs, machine learning concepts, AI-assisted development tools, or personal projects that explore emerging technologies • Demonstrated initiative beyond academics, such as internships, personal technical projects, hackathons, teaching or coaching roles, leadership in societies, or contributing to open-source work • Broken down technical problems and experimented with solutions, showing evidence of a problem-solving mindset that doesn't give up when the first approach doesn't work • Communicated technical concepts clearly, whether through coursework presentations, project documentation, or collaborating with peers on group work that required explaining complex ideas • Taken ownership of outcomes, showing examples of seeing projects through to completion, proactively identifying improvements, or taking responsibility when things didn't go as planned • We’re open to a range of technical and quantitative degree backgrounds. You might have studied Computer Science, Maths, Physics, Engineering, Data Science, Actuarial Science, or another subject where you’ve built strong analytical and problem-solving skills. • YOU'RE UNLIKELY TO THRIVE HERE IF • You prefer highly structured environments with clearly defined tasks and step-by-step instructions, rather than figuring things out and taking ownership of ambiguous problems • You're not interested in learning how a business operates beyond your immediate technical work, or collaborating across different teams to understand the broader context • You're uncomfortable engaging with technical topics like data, AI, or software engineering at depth, or don't have genuine curiosity about developing these skills further
Responsibilities
• Build real technical solutions that solve customer and internal challenges, such as automating workflows, improving processes with AI tools, building small product features, or creating internal automation that multiplies team efficiency • Develop foundational knowledge of hx's platform and products, learning how insurance pricing and underwriting systems work, how AI agents operate in production, and how engineering teams ship software at pace • Gain commercial context by working closely with customer-facing teams to understand how product decisions are shaped by real customer needs, technical constraints, and business priorities • Collaborate across Engineering, Product, AI, and operations teams, experiencing how different functions work together to deliver complex systems and seeing where your interests and strengths naturally align • Complete a final programme project that demonstrates applied learning and problem-solving, showcasing the technical and commercial skills you've developed throughout the programme • Build confidence working in ambiguity, learning to balance quality, speed, and customer impact whilst developing the self-discipline and judgement needed to thrive in a high-growth environment
Benefits
• The salary for this graduate programme is £40,000 per year. • We know compensation is an important part of any career decision, so we want to be upfront about it from the start. This salary has been set to reflect the level of the programme, the market we hire in, and the support graduates will receive as they build their careers at hx. • Alongside salary, graduates will have access to mentorship, learning and development support, and hx’s learning and development budget. • £5,000 training and conference budget for individual and group development. • 25 days of holiday plus 8 bank holidays (33 days total). • Company pension scheme via Penfold. • Mental health support and therapy via Spectrum.life http://Spectrum.life. • Individual wellbeing allowance via Juno. • Private healthcare insurance through AXA. • Income protection and Life Insurance. • Cycle to Work Scheme. • Top-spec equipment (laptop, screens, adjustable desks, etc.). • Regular remote and in-person hackathons, lunch and learns, socials, and game nights. • Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry https://theministry.com/. • Exceptional opportunities for personal development and growth as we build something remarkable together. • OUR COMMITMENT TO DIVERSITY • hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. • Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. • If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. • If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. • For more information about applying and to view other opportunities, you can visit our careers page. • Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
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