Senior Data Scientist/AI Engineer in London

Senior Data Scientist/AI Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Xbridge Limited

At a Glance

  • Tasks: Join us to build and deploy AI models that deliver real-world value.
  • Company: Simply Business, a tech-driven insurance company supporting small businesses.
  • Benefits: Flexible work, competitive salary, private medical insurance, and generous leave policies.
  • Other info: Inclusive culture encouraging diverse backgrounds and ideas.
  • Why this job: Be at the forefront of AI innovation and make a tangible impact on our customers' lives.
  • Qualifications: 5+ years in Data Science or ML Engineering with strong Python skills.

The predicted salary is between 60000 - 80000 £ per year.

Who Are We? We insure small businesses and enable big dreams – not just for our customers, but for our people and communities too. With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades. We’re a technology company as well as one that sells insurance. That means we build, we fail, we learn and we improve. Through our global social impact strategy, called 'The Big Dreams Project’, we're working to help 10,000 small businesses start or grow by 2030.

What Is the Opportunity? Here’s what you’ll be doing: At Simply Business, we’re putting AI and Data Science at the very heart of what we do. We are looking to unify our technical vision, and we need an experienced, pragmatic Staff Data Scientist to join us. Your mission will be to enable our wider team to deliver real-world value—and do it quickly.

What makes this role different? You aren’t just building models in a vacuum; you’re the bridge between Data Science and MLOps. You’ll have the autonomy to try an incredibly broad range of techniques—from LLMs to classic regression—while helping co-develop our long-term AI strategy and GenAI leverage.

As one of our Staff Data Scientists, you’ll:

  • Work closely with cross-functional teams to build, test, and maximise the value of models ranging from LLMs to propensity and classification.
  • Contribute to the end-to-end development and deployment of ML and AI models to prove and deliver tangible commercial value.
  • Act as a technical bridge between Data Science and MLOps to embed best practice deployment techniques across the team.
  • Take hands-on ownership of big projects, working with a large, event-based data set.
  • Research, advise, and deploy models from day one in a high-paced, agile environment.
  • Help shape our AI strategy, ensuring we continue to leverage GenAI for maximum impact.

We’re looking for someone who is:

  • An experienced practitioner: You have 5+ years of experience as a Data Scientist or ML Engineer, covering both classic ML and Generative AI.
  • A proven builder: You’ve successfully created multiple Data Science products that have moved the needle.
  • A deployment expert: You have extensive experience with Databricks, AWS, or GCP—and real-time deployment experience is a must.
  • Technically proficient: You possess strong Python skills and a proven aptitude for experimentation tools like MLflow or DBX for A/B testing.
  • Pragmatic and collaborative: You enjoy working in a bridge role, sharing expertise to help others deliver faster.
  • Informed and refreshing: You do your homework, share expertise, and aren't afraid to challenge the status quo to remove complexity.

We know it’s tough, but please try to avoid the confidence gap. You don’t have to match all the bullet points above to be considered for this role. We encourage people of all different backgrounds and identities to apply. We are committed to maintaining an inclusive, supportive place for you to be you and do your very best work.

Ready to build the future of InsurTech? If you’re a tech-minded pioneer who thrives on large, event-based data sets and wants to see your code deliver real-time impact rather than sitting on a shelf, we want to hear from you. Join us to lead our technical vision, experiment with the latest GenAI tools, and help 900,000 customers protect what matters most.

What are the benefits of working at Simply Business:

  • We offer a great work-life balance where workloads are manageable and everyone has the flexibility to work hybrid.
  • On top of the 25 days annual leave (plus bank holidays), we offer the option to buy five more days of holiday with your flexible benefits.
  • Our flexible parental leave allows you to approach an important time how you want - with six months full pay to the primary caregiver and four weeks full pay if you're the secondary caregiver.
  • Our life event leave is an extra days leave every two years for those big moments in your life like moving house or your birthday.
  • Long-serving employees get a two week paid sabbatical after five years of service, then four weeks off after ten years of service.
  • Private medical insurance through BUPA, that covers any pre-existing condition is a core benefit. Plus a health cash plan that covers your everyday medical expenses.
  • We offer a competitive salary based on your experience and the current market. Plus the potential to earn an annual bonus based on performance.
  • Access to tools to support your personal development on our dedicated learning platform. As well as support for your mental health with access to counselling.
  • We match what you put into your pension up to five per cent. And pass on a tax-free sum that's four times your basic salary with our life assurance policy, with the option to increase it to ten times through our flexible benefit scheme.
  • Our salary sacrifice car scheme gives you the option to buy a brand new, fully insured, and maintained car for a convenient fixed monthly amount taken from your gross salary (after 6 months service).
  • Our flexible benefits scheme gives you an allocated amount to use each year on benefits like critical illness cover, dental insurance, travel insurance, or a gym membership.

Ready to join us and drive our success as a high-performing team? Apply today.

Employment Practices: Simply Business is committed to providing equality and opportunities for all employees and candidates considering a career with us. We offer a workplace where colleagues are treated with respect and dignity. We don’t (and won’t) discriminate either directly or indirectly on the grounds of race, colour, religion, belief, political opinion, disability, nationality, ethnic origin, sex, sexual orientation or relationship status at any stage of the hiring process or during the course of your employment.

Senior Data Scientist/AI Engineer in London employer: Xbridge Limited

Simply Business is an exceptional employer that prioritises the well-being and development of its employees while fostering a vibrant and inclusive work culture. With a strong focus on work-life balance, competitive benefits, and opportunities for personal growth, you will thrive in a supportive environment that encourages innovation and collaboration. Join us in our mission to empower small businesses and make a meaningful impact in the community.

Xbridge Limited

Contact Details:

Xbridge Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist/AI Engineer 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 Xbridge Limited!

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 Data Scientist/AI Engineer at Xbridge Limited.

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 Xbridge Limited.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Scientist/AI Engineer at Xbridge Limited, 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 Data Scientist/AI Engineer in London

Data Science
Machine Learning (ML)
Generative AI
MLOps
Python
Databricks
AWS

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 Xbridge Limited, 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 Xbridge Limited. 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 Xbridge Limited

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 Xbridge Limited!

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.