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For Companies At a Glance
- Tasks: Engineer and deliver reliable data models and tools for sports organisations.
- Company: Ludonautics, a forward-thinking sports advisory business founded by a former Liverpool FC director.
- Benefits: Enjoy competitive salary, remote work, flexible hours, and a holiday buyback scheme.
- Why this job: Join a dynamic team and make a real impact in the sports industry with data-driven insights.
- Qualifications: Master's degree in STEM or equivalent experience; proficiency in Python and SQL required.
- Other info: Remote role with occasional co-working days in London and great career growth opportunities.
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 - Ludonautics in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Ludonautics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Ludonautics. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and SQL. This will help us see your practical experience and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge. Be ready to discuss your past projects and how you’ve implemented models in production. We love candidates who can articulate their 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, it shows us you’re genuinely interested in being part of the Ludonautics team.
We think you need these skills to ace Data Scientist - Ludonautics in London
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 at Ludonautics, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background makes you a great fit. We love seeing genuine enthusiasm for data science and our mission at Ludonautics.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We’re keen on candidates who can document their thought process and approach to building robust solutions, so share those experiences!
Apply Through Our Website: We encourage you to apply directly 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 proactive and keen to join our team!
How to prepare for a job interview at Jobster
✨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 how they helped you solve real-world problems.
✨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 clear about the impact they had.
✨Understand the Business Context
Familiarise yourself with Ludonautics and its mission. Think about how data-informed decisions can benefit sporting organisations, and be prepared to share your thoughts on this during the interview.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the role, team dynamics, and the tools you'll be using. This shows your genuine interest and helps you assess if it's the right fit for you.
