Data Scientist - Predictive Analytics for Growth in London

Data Scientist - Predictive Analytics for Growth in London

London Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Urban Jungle Insurance

At a Glance

  • Tasks: Shape data-driven decisions and build impactful models for pricing and risk assessment.
  • Company: Join Urban Jungle Insurance, a high-growth UK tech scaleup in London.
  • Benefits: Enjoy rapid progression, development budgets, and wellbeing support.
  • Other info: Collaborative culture with opportunities for personal and professional growth.
  • Why this job: Make a real impact on business decisions and advance your analytics skills.
  • Qualifications: Experience in data science and a passion for predictive analytics.

The predicted salary is between 50000 - 70000 £ per year.

Urban Jungle Insurance is seeking a Data Scientist to help shape how data powers core business decisions from day one. You will work closely with Product, Engineering and Commercial teams to build models that impact pricing, risk assessment and fraud detection, and to advance our data platform and analytics practices. You will join a high-growth UK tech scaleup with an office-centric approach in London, offering rapid progression, development budgets, wellbeing support and a culture that values.

Data Scientist - Predictive Analytics for Growth in London employer: Urban Jungle Insurance

Urban Jungle Insurance is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. As a high-growth tech scaleup, we prioritise employee development with generous progression opportunities, dedicated development budgets, and comprehensive wellbeing support, all within a collaborative culture that empowers you to make impactful contributions from day one.

Urban Jungle Insurance

Contact Details:

Urban Jungle Insurance Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist - Predictive Analytics for Growth 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 Urban Jungle 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 Data Scientist - Predictive Analytics for Growth at Urban Jungle 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 Urban Jungle Insurance.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist - Predictive Analytics for Growth at Urban Jungle 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 Data Scientist - Predictive Analytics for Growth in London

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Governance

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 Urban Jungle 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 Urban Jungle 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 Urban Jungle 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 Urban Jungle 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.