At a Glance
- Tasks: Analyse telematics and IoT data to improve driver behaviour insights and pricing strategies.
- Company: Leading insurance company focused on innovation and data-driven decisions.
- Benefits: Competitive salary, bonus potential, flexible working, and a generous pension scheme.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Experience in statistical modelling and programming in Python, R, or SQL.
- Other info: Support for wellbeing and a culture of collaboration.
The predicted salary is between 30000 - 50000 Β£ per year.
A leading insurance company is seeking a Data Scientist to work with telematics and IoT datasets. You will apply data science techniques to understand driver behaviour and enhance pricing strategies. The role involves collaboration with various teams to deliver actionable insights, promoting a culture of innovation and data-driven decision-making.
Ideal candidates will have experience in statistical modelling and programming in Python, R, or SQL.
This opportunity offers a competitive salary, bonus potential, and comprehensive benefits including a generous pension scheme, flexible working options, and support for wellbeing.
Data Scientist - Telematics & IoT Analytics in London employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Scientist - Telematics & IoT Analytics in London
β¨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in telematics and IoT. A friendly chat can lead to insider info about job openings or even a referral.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving statistical modelling or programming in Python, R, or SQL. This will give you an edge when discussing your experience.
β¨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies related to driver behaviour analysis. Practising with friends or using mock interviews can help us feel more confident.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Data Scientist - Telematics & IoT Analytics in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your experience with telematics and IoT datasets. We want to see how your skills in statistical modelling and programming in Python, R, or SQL can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've used data science techniques to drive insights and decision-making in previous roles.
Showcase Collaboration Skills: Since this role involves working with various teams, let us know about your collaborative experiences. Highlight any projects where youβve worked cross-functionally to deliver actionable insights.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates from us!
How to prepare for a job interview at Aviva
β¨Know Your Data Science Stuff
Make sure you brush up on your statistical modelling techniques and programming skills in Python, R, or SQL. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience and understanding of data science in the context of telematics and IoT.
β¨Understand the Business
Research the insurance company and its approach to telematics and IoT analytics. Familiarise yourself with how they use data to understand driver behaviour and enhance pricing strategies. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role.
β¨Collaboration is Key
Since the role involves working with various teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to deliver actionable insights, and highlight your ability to promote a culture of innovation and data-driven decision-making.
β¨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about the company's current challenges in telematics and IoT analytics, or how they envision the role evolving. This shows that you're not only interested in the position but also invested in the company's future.