At a Glance
- Tasks: Lead the development of innovative driving models and pricing strategies.
- Company: Join Open Data Science at Wheely, a forward-thinking tech company.
- Benefits: Equity options, relocation allowance, and opportunities for professional growth.
- Other info: Flexible work environment with potential relocation to sunny Cyprus.
- Why this job: Make an impact in data science while working on exciting challenges.
- Qualifications: Experience in data science and machine learning required.
The predicted salary is between 60000 - 80000 € per year.
Open Data Science is looking for mid-level and senior Data Scientists/ML Engineers to join the team at Wheely. You'll be responsible for the entire process, from ideation to model implementation, tackling challenging tasks like developing driving models and pricing journeys.
The position is located in London with possible relocation to Cyprus. The role offers excellent working conditions, including equity options, a relocation allowance, and professional development opportunities.
Senior Data Scientist & ML Engineer — Passenger Dispatch employer: Open Data Science
Open Data Science is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong focus on professional development, employees benefit from equity options and a relocation allowance, ensuring a rewarding career path while tackling exciting challenges in data science and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist & ML Engineer — Passenger Dispatch
✨Tip Number 1
Network like a pro! Reach out to current employees at Wheely on LinkedIn or attend industry meetups. 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 data science projects, especially those related to driving models or pricing strategies. We want to see how you tackle real-world problems!
✨Tip Number 3
Ace the interview! Brush up on your technical skills and be ready to discuss your thought process. We love candidates who can explain their approach to model implementation clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals who fit our team vibe.
We think you need these skills to ace Senior Data Scientist & ML Engineer — Passenger Dispatch
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data science and machine learning. Share specific projects or experiences that highlight your skills and how they relate to the role at Wheely.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this position. Highlight relevant experience in developing models and tackling complex problems, as these are key aspects of the job we're offering.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications and achievements at a glance.
Apply Through Our Website:To ensure your application gets the attention it deserves, please apply through our website. This way, we can easily track your application and get back to you faster!
How to prepare for a job interview at Open Data Science
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts and machine learning algorithms. Be ready to discuss how you’ve applied these in real-world scenarios, especially in areas like driving models and pricing journeys.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical problems during the interview. Think through your approach to developing models from ideation to implementation, and be ready to explain your thought process clearly.
✨Familiarise Yourself with Wheely's Mission
Research Wheely’s business model and values. Understanding their focus on passenger dispatch will help you align your answers with their goals and demonstrate your genuine interest in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project expectations, and professional development opportunities. This shows your enthusiasm for the position and helps you gauge if it’s the right fit for you.
