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- Tasks: Leverage telematics data to build predictive models for enhancing user experience.
- Company: Leading mobility data firm in Greater London with a focus on innovation.
- Benefits: Competitive pay, flexible working options, and opportunities for skill development.
- Why this job: Make a real impact in the mobility sector using cutting-edge machine learning techniques.
- Qualifications: Hands-on experience in machine learning, Python, SQL, and collaboration skills.
- Other info: Join a dynamic team with exciting projects and growth potential.
The predicted salary is between 42000 - 84000 £ per year.
A leading mobility data firm in Greater London seeks an Interim Data Scientist to leverage telematics data for building predictive models aimed at enhancing user experience in mobility solutions.
The ideal candidate will have:
- Extensive hands-on experience in applied machine learning
- Strong modelling skills
- Proficiency in Python and SQL
This role demands collaboration with cross-functional teams to ensure solutions meet real customer needs. Experience in telematics or automotive applications will enhance your application.
Interim Mobility Data Scientist – Telematics ML employer: Toyota Connected Europe
Contact Detail:
Toyota Connected Europe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Interim Mobility Data Scientist – Telematics ML
✨Tip Number 1
Network like a pro! Reach out to folks in the mobility and data science sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your telematics projects or predictive models. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've used machine learning in real-world scenarios. Practice makes perfect!
✨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 Interim Mobility Data Scientist – Telematics ML
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with applied machine learning, Python, and SQL in your application. We want to see how your skills can enhance user experience in mobility solutions!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect your experience in telematics or automotive applications. We love seeing how your background aligns with our needs.
Collaborate Like a Pro: Since this role involves working with cross-functional teams, mention any past experiences where you collaborated effectively. We’re all about teamwork here at StudySmarter!
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!
How to prepare for a job interview at Toyota Connected Europe
✨Know Your Data Inside Out
Make sure you’re well-versed in telematics data and its applications. Brush up on your experience with predictive modelling and be ready to discuss specific projects where you've successfully applied machine learning techniques.
✨Show Off 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 data manipulation tasks and be ready to explain your thought process.
✨Collaboration is Key
This role involves working with cross-functional teams, so be prepared to discuss how you’ve collaborated in the past. Share examples of how you’ve worked with different stakeholders to ensure that your solutions meet user needs.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in mobility solutions and telematics. Being able to discuss recent advancements or challenges in the industry will show your passion and commitment to the field.
