At a Glance
- Tasks: Join our team to develop innovative machine learning solutions and tackle real-world challenges.
- Company: Hiscox, a leading brand in the insurance market with a focus on innovation.
- Benefits: Competitive salary, flexible working, professional development, and comprehensive wellbeing support.
- Other info: Embrace a hybrid work model and enjoy a culture that values diversity and inclusion.
- Why this job: Shape the future of data science while collaborating with talented professionals in a dynamic environment.
- Qualifications: Experience in machine learning, strong Python skills, and a passion for data-driven solutions.
The predicted salary is between 60000 - 80000 £ per year.
Job Type: Permanent
About Hiscox
Hiscox UK is a leading brand in the insurance market, recognised as setting the standards others try to emulate. We consistently deliver strong growth and exceptional returns, recruiting only the very best and empowering them to deliver. We are known for insuring the homes of the rich and famous through to the most innovative technology companies. Our customers are diverse and unique and are only united by our ability to provide specialist insurance tailored to their needs.
The Team
The Hiscox UK Data Science team operates across the UK business unit, providing data-driven insights that inform strategic decision-making and operational improvements. We specialise in machine learning and generative AI solutions to address complex business challenges in collaboration with stakeholders across the business. We deliver robust, scalable models and analytical solutions that drive innovation and support evidence-based decisions.
The Role
We’re looking for a talented and pragmatic Machine Learning Engineer to join our growing data science team. We’re working on a wide range of greenfield projects, from fraud detection to generative AI, giving you the chance to help shape solutions from the ground up. You’ll be shaping the full machine learning lifecycle, collaborating closely with data scientists and engineers in a cross-functional environment to define how we solve problems with data science. This role is key to ensuring that models developed in research are successfully transitioned into scalable, production-ready solutions. This role is suited to individuals who are passionate about data and committed to software engineering best practices, with a drive to innovate and advance organisational capabilities.
Key Responsibilities
- Contribute to the design and evolution of our Data Science platform, helping define best practices, tooling and the ML Engineering function as the team and project portfolio grow.
- Have a strong voice in the automation of the end-to-end data science lifecycle, leveraging CI/CD and infrastructure as code to support scalable, enterprise-grade production workflows.
- Work closely as a team, collaborating on all aspects of the data science and deployment lifecycle across traditional ML and generative solutions.
- Work collaboratively with dependency teams including data engineers, software engineers and business stakeholders.
- Write high quality python code following industry best practice for model development, deployment and maintainability.
- Contribute technically to the data science modelling and project workflows, helping select modelling approaches, participating in architecture discussions, and deployment strategies.
Candidate Profile
Skills and experience:
- Proven track record in data science or ML engineering roles within a business setting.
- Strong python programming skills and wider software engineering best practice.
- Strong communication skills including translation of technical concepts for non-technical stakeholders.
- Good understanding of core data science principles.
- Experience with production-level cloud-native deployment of machine learning services, using containerisation, Kubernetes or equivalent. We work across an Azure and Databricks estate, therefore experience with these platforms would be particularly beneficial.
- Utilisation of an industry-standard software stack for data and software, including VCS (git), CI/CD (Azure DevOps desirable) and Project Management (JIRA).
- Experience deploying data science models to solve real-world business problems in production, ideally within a regulated industry such as finance or insurance.
- Experience utilising LLMs, generative or agentic AI in a commercial setting is beneficial.
Why Join Us?
A career at Hiscox is more than just a job—it’s an opportunity to grow, thrive, and be rewarded for your contribution. Beyond a competitive salary, we offer a comprehensive benefits package designed to support your financial, physical, and personal wellbeing. From retirement plans and healthcare coverage to flexible working options and professional development support, we aim to create an environment where you can succeed both inside and outside of work.
We also know that none of us ever stops learning. Whether you’re just starting out or have decades of experience, we’ll give you the tools and opportunities to nurture your talent and fulfil your potential. Our learning and development programmes include financial support for professional qualifications, world-class technical training, and a wide range of courses focused on personal growth, career progression, and leadership skills.
Diversity and Hybrid working
At Hiscox we care about our people. We hire the best people for the job and we’re committed to diversity and creating a truly inclusive culture, which we believe drives success. We operate a hybrid working model, set by the team rather than the business, to enable you to manage your own personal work-life balance. We see it as the best of both worlds; structure and sociability on one hand, and independence and flexibility on the other.
If you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.
Machine Learning Engineer employer: Hiscox SA
Hiscox SA is an excellent employer, offering a dynamic hybrid work environment in London that fosters collaboration and innovation. With a strong commitment to employee growth, we provide comprehensive training and development opportunities, ensuring our team members thrive in their careers. Our inclusive culture not only values diversity but also encourages meaningful contributions, making it a rewarding place to work in the insurance industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Dive Into Industry Networking Events
Get your foot in the door by attending insurance industry events and conferences. Not only will you learn about the latest trends, but you'll also meet potential employers and industry peers. Check out local chapters of professional bodies like the Chartered Insurance Institute for valuable meetups.
✨Use LinkedIn to Your Advantage
Don’t underestimate the power of LinkedIn in the insurance world. Engage with industry content, join relevant groups, and connect with professionals at companies you admire (like Hiscox SA). A thoughtful message explaining your interest can really make a difference!
✨Look Out for Graduate Schemes
Many firms in insurance have structured graduate programmes. Keep an eye on application windows and utilise your university's career services for insider tips. These schemes are designed to develop talent and often lead to permanent roles after your initial training.
✨Leverage Your Current Connections
Got friends or family in the industry? Now’s the time to reach out! Personal referrals can give you a head start, so let them know you're on the lookout for full-time opportunities at places like Hiscox SA. Don’t shy away from asking for a coffee chat; you never know what doors it might open!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Highlight Your Analytical Skills:In insurance, we love a candidate who can crunch numbers and analyse data effectively. When crafting your CV, make sure to showcase any relevant coursework or experiences that highlight your analytical abilities, especially if you’ve tackled risk assessment or financial modelling.
Showcase Industry Knowledge:Don’t be shy about your knowledge of the insurance sector! We want to see that you've done your homework on current trends, regulations, and challenges in the industry. Mention any relevant projects or studies you’ve completed that demonstrate your understanding of the field in your cover letter.
Craft a Compelling Cover Letter:Your cover letter should tell us why you’re passionate about insurance. Share any personal experiences or what drew you into this profession. We’re looking for enthusiasm and a clear motivation for why you want to be part of our team at Hiscox SA.
Tailor Your CV for the Role:Don't just send a generic CV! Focus on tailoring it specifically for the insurance role at Hiscox SA. Highlight relevant skills such as risk management, customer service experience, or any certifications you've earned in the industry to make your application stand out.
How to prepare for a job interview at Hiscox SA
✨Know Your Numbers: Insurance Fundamentals
Brush up on your understanding of key insurance concepts, like underwriting principles and risk assessment. Expect the interviewer at Hiscox SA to throw some technical questions your way, so be ready to demonstrate your grasp of these essentials.
✨Showcase Your Analytical Side
In the insurance world, it's all about data. Prepare to discuss any analytical tools or methodologies you've used in past experiences. If you have a portfolio of projects where you've tackled complex data, bring that along to impress the team!
✨Prepare for Behavioural Questions
As a full-timer at Hiscox SA, they'll want to know how you handle real-life scenarios, not just theory. Think about challenges you've faced in teamwork or customer service, and how those experiences can relate to a career in insurance.
✨Know the Company Culture Inside Out
Understanding Hiscox SA's values and workplace culture is essential. Don’t just memorise their mission statement; think about how your personal values align with theirs. This will show your genuine interest in being part of their team long-term.