Senior Model Developer in London

Senior Model Developer in London

London Full-Time 43200 - 72000 £ / year (est.) Hybrid
H

At a Glance

  • Tasks: Lead the development of complex models using Python and collaborate with top industry experts.
  • Company: Join hyperexponential, a pioneering AI platform transforming the insurance industry.
  • Benefits: Enjoy competitive pay, equity options, and a generous training budget.
  • Other info: Be part of a dynamic team that values innovation and personal growth.
  • Why this job: Make a real impact in a fast-paced environment while tackling challenging problems.
  • Qualifications: Experience in Python coding and delivering analytical models, preferably in insurance.

The predicted salary is between 43200 - 72000 £ per year.

About hyperexponential (hx)

At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry - which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurers have been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.

Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates.

What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next.

About the Model Development team

The hyperexponential Model Development team (MDT) is a unique blend of engineers, actuaries, mathematicians and data scientists. We don’t take on traditional “transformations” (we have brilliant partners for that) – we specialise in handling only the most difficult and interesting problems our customers face, where only a combination of technical depth, market expertise and hx Renew knowledge will do. The MDT are the experts' experts of hx Renew, knowing it top-to-bottom, inside-out – both breadth and depth. You’ll learn its limits and which can be pushed. You’ll uncover every trick in the book, the secret combinations, and the shortcuts. You’ll combine all of this with a growing knowledge of insurance technology to present 'the art of the possible' to our customers and help shape cutting-edge tech, while working alongside some of the brightest, most ambitious people in the tech and insurance industries.

What you’ll be doing

  • Own end-to-end delivery of complex models on hx Renew, from scoping and technical design through build, testing, iteration, and customer delivery.
  • Build and maintain production-grade Python models, setting a high bar for code quality, testing, and modelling best practices.
  • Act as a technical authority on customer projects, working directly with actuarial teams and senior stakeholders to solve complex, ambiguous problems.
  • Raise quality across the team through code review, pairing, mentoring, and contributions to shared guidance and standards.
  • Support the development of other Model Developers, providing feedback and technical leadership in day-to-day delivery.
  • Proactively identify opportunities to improve tooling, processes, and ways of working to increase delivery speed, predictability, and quality.

What you’ll need to have done

  • Shipped and maintained production-grade Python code in complex, data-heavy environments.
  • Delivered actuarial, pricing, or advanced analytical models in real-world settings (insurance or reinsurance experience is strongly preferred).
  • Taken ownership of complex, ambiguous problems, creating structure and driving them through to high-quality outcomes.
  • Worked directly with customers or senior non-technical stakeholders, translating requirements into robust technical solutions.
  • Acted as a senior contributor within a team, influencing quality, standards, and ways of working beyond your own tasks.
  • Operated effectively in a high-trust, high-accountability environment, demonstrating ownership, judgement, and continuous learning.

You’re unlikely to thrive here if

  • You prefer following detailed instructions rather than experimenting and finding your own approach.
  • You are uncomfortable working directly with non-technical stakeholders to understand their challenges.
  • You avoid tackling ambiguous or open-ended problems where the solution isn’t obvious.
  • If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you’ll do your best work. We’re building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.

Compensation

At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally. Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this.

Benefits

£5,000 training and conference budget for individual and group development. 25 days of holiday plus 8.

Senior Model Developer in London employer: hyperexponential

At hyperexponential, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Revenue Enablement Architect, you'll have the unique opportunity to shape our sales strategy in a fast-paced AI-driven environment, while benefiting from comprehensive onboarding, continuous professional development, and a collaborative team atmosphere. Join us in London, where your contributions will directly impact our growth and success in the insurance sector.

H

Contact Details:

hyperexponential Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Model Developer in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like hyperexponential!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Model Developer at hyperexponential.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like hyperexponential.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Model Developer at hyperexponential, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Model Developer in London

Python Programming
Model Development
Actuarial Knowledge
Data Analysis
Technical Design
Code Quality Assurance
Customer Engagement

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at hyperexponential, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at hyperexponential. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at hyperexponential

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at hyperexponential!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.