At a Glance
- Tasks: Own the process from ideation to implementation of data models in production.
- Company: Join an innovative team at Open Data Science in London.
- Benefits: Equity, relocation allowances, private medical insurance, and professional development.
- Other info: Dynamic environment with opportunities for growth and impact.
- Why this job: Tackle challenging problems in matching, pricing, and mapping while valuing privacy.
- Qualifications: Experience in data science or ML engineering is a plus.
The predicted salary is between 50000 - 70000 € per year.
Open Data Science is looking for junior, mid-level and senior Data Scientists/ML Engineers to join their innovative team in London. You will own the entire process from ideation to implementation of models in production, tackling challenging problems in matching, pricing, and mapping. The company values privacy and aims to offer a five-star service.
Positions come with equity, relocation allowances, and comprehensive benefits including private medical insurance and professional development opportunities.
Data Scientist: Matching, Pricing & Mapping (Equity) in London employer: Open Data Science
Open Data Science is an exceptional employer that fosters a culture of innovation and collaboration in the heart of London. With a strong commitment to employee growth, we offer comprehensive benefits including equity, private medical insurance, and professional development opportunities, ensuring that our team members thrive both personally and professionally while tackling exciting challenges in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist: Matching, Pricing & Mapping (Equity) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Open Data Science 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 projects related to matching, pricing, and mapping. We want to see how you tackle real-world problems, so make it shine!
✨Tip Number 3
Ace the interview! Research common data science interview questions and practice your answers. We recommend using the STAR method to structure your responses and highlight your problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist: Matching, Pricing & Mapping (Equity) in London
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let us see your enthusiasm for data science! Share any personal projects or experiences that highlight your skills in matching, pricing, and mapping. We love seeing candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the role. Highlight relevant experiences and skills that align with our job description. We want to see how you can contribute to our innovative team, so make it clear why you're a great fit!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate well-structured applications that are easy to read, so make sure your key points stand out!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Open Data Science
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to matching, pricing, and mapping. Be prepared to discuss algorithms, model evaluation metrics, and any relevant projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to tackle hypothetical scenarios or case studies. Think aloud as you approach these problems, demonstrating your thought process and how you would implement solutions in a production environment.
✨Understand Their Values
Research Open Data Science's commitment to privacy and their five-star service ethos. Be prepared to discuss how you can contribute to these values through your work, particularly in ensuring data integrity and user trust.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and their approach to professional development. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
