Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build predictive models and collaborate on data-driven solutions.
- Company: Dynamic insurance tech company in Greater London.
- Benefits: Starting salary of £40,000 - £41,000 with rapid progression.
- Why this job: Shape data strategy and make a real impact in the insurance industry.
- Qualifications: 1 year of data experience and strong skills in Python and SQL.
- Other info: Strong development support and opportunities for career growth.
The predicted salary is between 40000 - 41000 £ per year.
A dynamic insurance tech company in Greater London seeks a Data Scientist to shape its data strategy. This role involves building predictive models and collaborating with cross-functional teams to deliver impactful data-driven solutions.
Ideal candidates are problem-solvers with at least 1 year of experience in data work and a strong foundation in Python and SQL.
The position offers a starting salary between £40,000 - £41,000 with potential for rapid progression and strong development support.
Data Scientist: Build Impactful ML for Insurance Growth employer: Urban Jungle Services Ltd.
Contact Detail:
Urban Jungle Services Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Build Impactful ML for Insurance Growth
✨Tip Number 1
Network like a pro! Reach out to people in the insurance tech space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and data-driven projects. This is your chance to demonstrate your Python and SQL prowess, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on common data science questions and be ready to discuss your problem-solving approach. Practising with friends or using mock interviews can really help us nail it.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Data Scientist: Build Impactful ML for Insurance Growth
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, especially in data projects that have made an impact.
Be a Problem Solver: In your written application, share examples of how you've tackled complex problems in the past. We love candidates who can think critically and come up with innovative solutions, so let us know how you’ve done this!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to our job description. Mention specific projects or experiences that align with building predictive models and working in cross-functional teams.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Urban Jungle Services Ltd.
✨Know Your Data
Make sure you brush up on your data skills, especially in Python and SQL. Be ready to discuss specific projects where you've built predictive models or solved complex problems using these tools. This will show that you can hit the ground running.
✨Understand the Insurance Landscape
Familiarise yourself with the insurance industry and how data science is shaping its future. Research current trends and challenges in insurance tech, so you can speak knowledgeably about how your skills can contribute to their growth.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others in past projects. Highlight your communication skills and how you can bridge the gap between technical and non-technical team members.
✨Show Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in your data work and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your contributions led to impactful outcomes.