At a Glance
- Tasks: Analyse real-world data to drive insights in insurance and market performance.
- Company: Join a global insurance organisation with a focus on analytics and advisory.
- Benefits: Hybrid working, strong career development, and a chance to make a commercial impact.
- Other info: Exciting growth opportunities in a newly established analytics function.
- Why this job: Combine your data skills with real-world applications in a dynamic industry.
- Qualifications: Proficiency in Python or R, SQL, and data visualisation tools like Power BI.
The predicted salary is between 50000 - 70000 € per year.
McCabe & Barton is supporting the growth of a newly established Analytics & Advisory function within a global insurance organisation. This is an exciting opportunity for a commercially minded Data Scientist to work with real-world insurance, market and client data, helping drive insight-led decision making across pricing, portfolio analytics, client segmentation and operational performance.
Key experience sought:
- Strong Python or R capability
- SQL and relational database experience
- Data visualisation skills using tools such as Power BI or Tableau
- Strong analytical and problem-solving capability
- Ability to communicate insights clearly to technical and non-technical audiences
- Exposure to machine learning techniques advantageous
- Insurance or regulated industry experience beneficial
This role offers strong career development potential within a growing data function and would suit candidates looking to combine technical capability with commercial impact. London based with hybrid working.
Data Scientist in London employer: McCabe & Barton
McCabe & Barton is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the newly established Analytics & Advisory function. Employees benefit from strong career development opportunities, a hybrid working model, and the chance to engage with real-world data in the insurance sector, making a tangible impact on decision-making processes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python, R, and data visualisation projects. We all love a good visual, so make sure you highlight your ability to communicate insights clearly.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and analytical problem-solving skills. We recommend practising common data science interview questions and scenarios to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who can make a commercial impact in the data world.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, R, SQL, and data visualisation tools like Power BI or Tableau. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the Data Scientist role and how your analytical skills can drive insight-led decision making in the insurance sector. Let us know what makes you tick!
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and communicate insights clearly, so share those success stories with us!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at McCabe & Barton
✨Know Your Tech Inside Out
Make sure you brush up on your Python or R skills before the interview. Be ready to discuss specific projects where you've used these languages, and don't shy away from showcasing your SQL and database experience. The more confident you are with the technical stuff, the better!
✨Visualise Your Success
Since data visualisation is key for this role, prepare to talk about your experience with tools like Power BI or Tableau. Bring examples of dashboards or reports you've created, and be ready to explain how they helped drive decision-making. Visuals can speak volumes!
✨Communicate Like a Pro
You’ll need to convey complex insights to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the impact of your work. This will show that you can bridge the gap between data and business needs.
✨Show Your Analytical Mindset
Prepare to tackle some problem-solving scenarios during the interview. Think of examples where you've used your analytical skills to overcome challenges, especially in the context of insurance or regulated industries. Highlighting your thought process will impress the interviewers!
