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For Companies At a Glance
- Tasks: Engineer and deliver reliable data models and tools for sports organisations.
- Company: Join Ludonautics, a cutting-edge sports advisory firm founded by a former Liverpool FC director.
- Benefits: Enjoy competitive salary, remote work, flexible hours, and a bonus scheme.
- Why this job: Make an impact in sports through data-driven decisions and innovative solutions.
- Qualifications: Master's in STEM or equivalent experience; proficient in Python and SQL.
- Other info: Remote role with occasional co-working days in London and great career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
About Ludonautics
Ludonautics is a sports advisory business dedicated to helping sporting organisations make data-informed decisions through access to insightful statistical analysis. Ludonautics was founded in 2023 by Ian Graham, who previously served as Liverpool FC's Director of Research for 11 years.
What will you be doing?
Ludonautics needs a full-stack Data Scientist who will work closely with engineering and client-facing staff to ship dependable data tooling and models. The successful applicant will develop tools and pipelines to support analysis and to build and deploy models to automated production workflows.
Who are we looking for?
We are looking for a data scientist who is comfortable with Python and SQL, and with learning new skills and technologies. The successful candidate will have experience developing and deploying statistical models. We expect the successful candidate to be able to document the merits of different approaches to a problem from a high-level model requirements specification, and to be able to implement and integrate a performant, robust, and scalable solution in a production environment with minimal supervision. This is primarily a remote role, with frequent in-person co-working days (2-3 days every 4-6 weeks), usually in London.
Skills and Experience:
- Master's degree in a STEM field, or equivalent experience in technical/analytical roles
- Python
- SQL
- Statistical modelling
- Data engineering fundamentals
Responsibilities:
- Engineer and deliver new models and tools that run reliably and repeatably
- Translate ideas into clear analytical requirements and production-ready tools and models
- Build and maintain analysis pipelines and tooling that reduce manual effort for the client team
- Collaborate with engineers to develop and deploy models and integrate outputs into automated workflows
Benefits
- Competitive salary
- Remote working
- Flexible hours
- Holiday buyback scheme
- Pension Contributions
- Bonus scheme based on the success of our clients and of the company
Equal Opportunity
We welcome applicants of all backgrounds and identities.
Contact
Please apply via LinkedIn - No Agencies.
Data Scientist employer: Ludonautics
Contact Detail:
Ludonautics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Ludonautics. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how you’ve tackled challenges in data science.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Ludonautics.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and statistical modelling. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing relevant projects or roles!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role at Ludonautics and how your background makes you a great fit. We love seeing genuine enthusiasm and a clear understanding of our mission.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems using data. We’re keen on candidates who can document their thought process and demonstrate how they’ve implemented effective solutions in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and really interested in joining our team!
How to prepare for a job interview at Ludonautics
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, and think about how you can relate them to the work at Ludonautics.
✨Showcase Your Modelling Experience
Prepare to talk about your experience with statistical models. Have examples ready that demonstrate how you've developed and deployed models in a production environment, and be ready to explain the thought process behind your choices.
✨Understand Their Business
Do some homework on Ludonautics and their mission to help sporting organisations make data-informed decisions. Being able to discuss how your skills can contribute to their goals will show that you're genuinely interested in the role.
✨Be Ready for Collaboration Questions
Since this role involves working closely with engineering and client-facing teams, prepare for questions about teamwork and collaboration. Think of examples where you've successfully worked with others to deliver a project or solve a problem.
