At a Glance
- Tasks: Design and improve AI solutions to simplify operations and deliver real business value.
- Company: Join Brit, a forward-thinking company focused on thriving in uncertainty.
- Benefits: Enjoy a competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse workplace with a focus on innovation and continuous learning.
- Why this job: Make a real impact by shaping the future of AI in a collaborative environment.
- Qualifications: Experience in AI and data science with strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for an Applied AI Scientist.
About Brit
At Brit, we believe that the uncertainty of the future should never stand in the way of progress. That’s why we exist. To help people and businesses face the future and thrive. We are change‑makers enabled by a global workforce who collaborate to deliver a risk service. A team empowered to help our customers not only to survive the risks they face, but to stay on the front foot and keep moving forward. We believe the uncertainty of tomorrow isn’t something to fear but to seize; that it’s full of potential. Not only for our customers but our employees too. We might write the future of risk for our brokers and clients, but we would love to help you write your future at Brit: a future based on not just progressing but on thriving – both professionally and emotionally. If you’re looking for a place to make a real difference read on.
What you’ll be doing
- You’ll apply scientific rigour to the design, evaluation and improvement of AI solutions that support our operational simplification strategy.
- Working across data, engineering and business teams, you’ll help shape and deliver proof of concepts using a blend of classical data science and modern generative and agentic AI methods, ensuring that solutions are grounded in evidence and aligned to real business needs.
- You’ll translate complex AI outputs into clear, accessible insights for stakeholders, helping turn technical findings into practical value across the business.
- You’ll play a key role in defining what good looks like for AI use cases, building evaluation frameworks, setting quality standards and improving confidence in how AI performs in real world scenarios.
- You’ll also contribute to the evolution of our AI capability by analysing model behaviour, identifying performance boundaries and supporting the development of best practices that can be scaled across the organisation.
- Alongside this, you’ll collaborate closely with colleagues to continuously improve how we work, contributing to an agile, innovative environment where experimentation and learning are encouraged.
We welcome everyone wholeheartedly.
We’ve got a truly diverse, genuinely inclusive work environment. We comfortably and confidently bring our whole selves to work, because we know we’ll be respected, valued and accepted whoever we are. Our Employee Resource groups are safe spaces for people to share their experiences, aspirations and suggestions about how we do things.
Accessibility
We are located in the Leadenhall Building on Leadenhall Street (EC3V 4AB) and are situated on floors 17, 18, and 39. All of our floors are accessible by lift, and there are building staff on hand to point you in the right direction. The closest train / underground / DLR links are: Liverpool Street Station (7 mins), Bank Station (6 mins), Fenchurch Street Station (6 mins), Aldgate Station (7 mins). The nearest bus stop is St Mary Axe (Stop LR or Z), which is located just outside the building. If you have any other questions regarding accessibility, please ask.
Applied AI Scientist employer: Brit Insurance
Brit Insurance is an exceptional employer, offering a dynamic work environment in Greater London where innovation and collaboration thrive. With a strong commitment to diversity and inclusion, employees are empowered to contribute their unique perspectives while enjoying ample opportunities for professional growth and development. The company prioritises employee well-being and fosters a culture of respect, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Scientist
✨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 Brit Insurance!
✨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 Applied AI Scientist at Brit Insurance.
✨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 Brit Insurance.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI Scientist at Brit Insurance, 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 Applied AI Scientist
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 Brit Insurance, 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 Brit Insurance. 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 Brit Insurance
✨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 Brit Insurance!
✨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.
