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- Tasks: Manage the complete model-building process and improve algorithms for a privacy-focused platform.
- Company: Join a cutting-edge transportation platform in Greater London.
- Benefits: Enjoy flexible working hours, stock options, and medical insurance.
- Why this job: Make an impact in the transportation sector while developing your skills.
- Qualifications: STEM degree, 2 years of experience, and strong Python skills required.
- Other info: Great perks and professional development opportunities await you.
The predicted salary is between 48000 - 72000 £ per year.
A privacy-focused transportation platform in Greater London is seeking mid-level and senior Data Scientists / ML Engineers. You will manage the complete model-building process, from ideation to production.
Responsibilities include improving algorithms and developing proofs of concept.
Ideal candidates possess a STEM degree, 2 years of experience, and strong Python skills.
The position offers flexible working hours, stock options, and various perks including medical insurance and professional development opportunities.
Senior Data Scientist & ML Engineer – Production Models employer: Wheely
Contact Detail:
Wheely Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist & ML Engineer – Production Models
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects, especially those related to model-building and algorithms. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on common interview questions for Data Scientists and ML Engineers. We can even do mock interviews with friends or use online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive job openings that you won’t find elsewhere, so keep an eye out!
We think you need these skills to ace Senior Data Scientist & ML Engineer – Production Models
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python skills and any relevant experience in data science or machine learning. We want to see how you can manage the model-building process, so don’t hold back on showcasing your past projects!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with our focus on privacy and transportation, and how you can contribute to improving algorithms and developing proofs of concept.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for all the perks we offer, like flexible working hours and professional development opportunities.
How to prepare for a job interview at Wheely
✨Know Your Algorithms
Brush up on your understanding of algorithms and model-building processes. Be ready to discuss specific algorithms you've worked with, how you improved them, and the impact they had on your projects.
✨Showcase Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be familiar with libraries like Pandas and Scikit-learn.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past experiences where you faced challenges in model development and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company’s Focus
Research the privacy-focused aspect of the transportation platform. Be prepared to discuss how you can contribute to their mission while ensuring data privacy in your models. This shows your genuine interest in the company and its values.
