At a Glance
- Tasks: Lead the development of innovative driving models and pricing strategies.
- Company: Join Wheely, a forward-thinking company in the heart of London.
- Benefits: Enjoy equity options, relocation allowance, and professional growth opportunities.
- Other info: Flexible working conditions with potential relocation to sunny Cyprus.
- Why this job: Make a real impact in data science and machine learning while tackling exciting challenges.
- Qualifications: Experience in data science and machine learning is essential.
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 in London employer: Open Data Science
Open Data Science is an exceptional employer that fosters a collaborative and innovative work culture, perfect for mid-level and senior Data Scientists and ML Engineers. Located in the vibrant city of London, with the added benefit of potential relocation to Cyprus, employees enjoy competitive equity options, a generous relocation allowance, and ample opportunities for professional growth, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist & ML Engineer — Passenger Dispatch in London
✨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 and confidently.
✨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 are eager to join our team!
We think you need these skills to ace Senior Data Scientist & ML Engineer — Passenger Dispatch in London
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 Senior Data Scientist & ML Engineer role.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your qualifications and achievements at a glance.
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 the role. Plus, it shows you’re keen on joining our team!
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 past projects, especially in areas like model implementation and driving models.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to passenger dispatch. Think about how you would approach developing pricing journeys or optimising driving models, and be ready to walk the interviewers through your thought process.
✨Familiarise Yourself with Wheely's Mission
Research Wheely and understand their business model and values. Tailor your answers to show how your skills and experiences align with their goals, particularly in enhancing customer experience through data-driven decisions.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and future challenges they face. This shows your genuine interest in the role and helps you assess if Wheely is the right fit for you.
