Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Leverage telematics data to create innovative models for mobility solutions.
- Company: Leading automotive tech firm in London with a focus on innovation.
- Benefits: Immediate start, collaborative environment, and opportunities for significant impact.
- Why this job: Join a growing team and make a real difference in mobility solutions.
- Qualifications: Strong machine learning skills, especially with time-series data, and proficiency in Python and SQL.
- Other info: Dynamic role with cross-functional collaboration and data-driven decision-making.
The predicted salary is between 36000 - 60000 £ per year.
A leading automotive technology firm in London is seeking an Interim Data Scientist. This role focuses on leveraging telematics data to develop innovative models for B2B and B2C mobility solutions.
Ideal candidates will possess strong skills in machine learning, particularly with time-series data, and be proficient in Python and SQL.
You will collaborate across functions to ensure solutions meet customer needs and foster data-driven decision-making. Immediate start with opportunities for significant impact as part of a growing team.
Mobility Data Scientist: Telematics & Time-Series ML in City of London employer: TOYOTA Connected
Contact Detail:
TOYOTA Connected Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mobility Data Scientist: Telematics & Time-Series ML in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the automotive tech space, especially those working with telematics and data science. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving time-series data. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in real-world scenarios, as this will demonstrate your practical knowledge.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light.
We think you need these skills to ace Mobility Data Scientist: Telematics & Time-Series ML in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with telematics data and machine learning. We want to see how your skills in Python and SQL can shine through, so don’t hold back on showcasing relevant projects!
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 time-series data in your previous work and how it can benefit our mobility solutions.
Showcase Collaboration Skills: Since this role involves working across functions, let us know about your teamwork experiences. Highlight any projects where you collaborated with others to achieve data-driven results – we love a good team player!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at TOYOTA Connected
✨Know Your Data
Make sure you brush up on your telematics and time-series data knowledge. Be ready to discuss how you've used these in past projects, especially in relation to machine learning. This will show that you understand the core of what the role is about.
✨Showcase Your Coding Skills
Since proficiency in Python and SQL is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand. It’s all about showing you can walk the walk!
✨Collaboration is Key
This role involves working across functions, so be prepared to discuss your experience in collaborative environments. Think of examples where you’ve worked with different teams to achieve a common goal, and how you ensured that customer needs were met.
✨Impactful Questions
Prepare insightful questions that reflect your understanding of the company and its goals. Ask about their current projects or challenges they face in mobility solutions. This not only shows your interest but also your strategic thinking regarding data-driven decision-making.
