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- Tasks: Drive model development and collaborate with teams to solve complex problems.
- Company: Premium ride-hailing service focused on innovation and quality.
- Benefits: Competitive salary, equity options, and flexible working hours.
- Why this job: Make a real impact by improving algorithms and delivering solutions.
- Qualifications: STEM degree, strong Python skills, and 2+ years in data science or ML.
- Other info: Join a dynamic team with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A premium ride-hailing service is looking for mid-level and senior Data Scientists / ML Engineers to drive model development from ideation to implementation. This role involves collaboration with cross-functional teams to solve complex problems, improve existing algorithms, and deliver solutions into products.
Candidates should have a STEM degree, strong programming skills in Python, and at least 2 years of experience in data science or machine learning.
The company offers competitive salaries, equity options, and flexible working hours.
Production ML Scientist - Shape ETAs and Dispatch in London employer: Wheely
Contact Detail:
Wheely Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Scientist - Shape ETAs and Dispatch in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and data science. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach complex problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team and contributing to our mission.
We think you need these skills to ace Production ML Scientist - Shape ETAs and Dispatch in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any relevant experience in data science or machine learning. We want to see how you can drive model development and solve complex problems!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Production ML Scientist role. Mention your experience with cross-functional teams and how you've improved algorithms in the past.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for the role shines through without unnecessary fluff.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Wheely
✨Know Your Algorithms
Brush up on your machine learning algorithms and be ready to discuss how you've applied them in past projects. Be prepared to explain your thought process when developing models, as this will show your depth of understanding.
✨Showcase Your Python Skills
Since strong programming skills in Python are a must, make sure you can demonstrate your coding abilities. Consider preparing a small project or example that highlights your proficiency and problem-solving skills using Python.
✨Collaborate Like a Pro
This role involves working with cross-functional teams, so be ready to discuss your experience collaborating with others. Share specific examples of how you’ve worked with different departments to solve complex problems and deliver successful outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and challenges. This not only shows your interest in the role but also gives you a chance to demonstrate your knowledge of the industry and how you can contribute to their success.
