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- Tasks: Build predictive models and optimise decision systems for real-world fleet operations.
- Company: Odysse, a pioneering mobility tech company in London.
- Benefits: Competitive salary, hybrid work model, and potential for full-time conversion.
- Other info: Collaborate with senior leaders and global partners on innovative projects.
- Why this job: Make a tangible impact on urban mobility and future autonomous vehicle networks.
- Qualifications: 3-5 years in Data Science, strong Python and SQL skills required.
The predicted salary is between 33000 - 77000 £ per year.
Odysse is a London-based mobility technology company building intelligent fleet orchestration systems for ride-hailing and future autonomous vehicle (AV) networks. Our AI-driven decision systems influence real-world behaviour: Where vehicles move, how cities are served, and how efficiently transportation operates. We are designing the optimisation and data infrastructure that supports both today’s human-driven fleets and tomorrow’s autonomous mobility networks.
This is a hands-on applied machine learning role focused on building and improving decision systems that directly influence live fleet operations and contribute to long-term autonomous fleet orchestration capabilities. You will work on logistics optimisation, real-time decision systems, simulation and operational experimentation, applying ML in complex, real-world environments.
What You’ll Work On
- Build predictive models using geospatial and time-series data (demand, driver behaviour, trip outcomes) and evaluate them using operational business metrics.
- Partner with operations and senior team members to translate operational challenges into measurable ML problems and propose appropriate modelling approaches.
- Engineer features, analyse large datasets using Python and SQL, and identify useful external data sources.
- Design and support experiments contributing to fleet positioning and planning decisions.
- Contribute to modelling and simulation work that supports long-term autonomous fleet orchestration and mixed-fleet (human driven + Autonomous Vehicle) operational planning.
- Collaborate with operations and engineering to deploy and improve data-driven workflows.
- Support related technical or analytical initiatives across the company (e.g. data integrations, tooling improvements, analytical inputs into product and operations).
We’re Looking For Someone Who
- Ideally has 3-5 years’ experience in Data Science / Applied ML / Analytics (years of experience provided as a guide).
- Can independently train, evaluate and iterate on models given a clearly defined problem.
- Is comfortable with Python (pandas/numpy/sklearn or similar), strong SQL, and relational databases.
- Can work with imperfect real-world data and optimise for practical impact rather than just model accuracy.
- Has exposure to advanced modelling approaches (e.g. neural networks, optimisation, or reinforcement learning).
Nice to Have
- Experience with time-series or geospatial datasets, experimentation or optimisation problems.
- Experience in logistics, marketplaces, mobility systems, ride-hailing or autonomous vehicle ecosystems.
Why This Role Is Different
- Your models affect physical movement in a city, not just clicks on a screen.
- Exposure to real operational decision systems used in live fleet environments.
- Opportunity to help build the data and optimisation foundations for future autonomous vehicle networks.
- Work across modelling, experimentation and deployment in a product environment shaping next-generation mobility.
- Work closely with senior leadership team, with exposure to global corporate partners, interacting with venture capital and strategic funders, on ambitious projects shaping the future of mobility.
Data Scientist in Croydon employer: Odysse Ltd.
Contact Detail:
Odysse Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Croydon
✨Tip Number 1
Network like a pro! Reach out to people in the mobility and data science sectors on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive models or real-time decision systems. Share it during interviews or even on your LinkedIn profile to catch the eye of hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss how you’ve tackled real-world data problems. We want to see how you think and solve issues, so be ready to showcase your thought process!
✨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 at Odysse. So, get your application in and let’s shape the future of mobility together!
We think you need these skills to ace Data Scientist in Croydon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any relevant machine learning projects. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for mobility technology and how your background in data science can contribute to our mission at Odysse. Keep it engaging and personal.
Showcase Relevant Projects: If you've worked on projects involving geospatial or time-series data, make sure to mention them! We love seeing practical examples of your work that demonstrate your ability to tackle real-world problems.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Odysse Ltd.
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning and predictive modelling. Be ready to discuss your experience with Python, SQL, and any advanced modelling techniques you've used. They’ll want to see how you can apply these skills to real-world problems.
✨Understand the Company’s Mission
Dive deep into Odysse's focus on mobility technology and fleet orchestration systems. Familiarise yourself with their AI-driven decision systems and think about how your skills can contribute to their goals. Showing that you understand their mission will set you apart from other candidates.
✨Prepare for Practical Scenarios
Expect to tackle some practical scenarios during the interview. Think about how you would approach logistics optimisation or real-time decision-making challenges. Practising these types of questions can help you articulate your thought process clearly.
✨Show Your Collaborative Spirit
Since this role involves working closely with operations and engineering teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've partnered with others to solve complex problems, as teamwork is key in this position.