At a Glance
- Tasks: Engineer and deliver reliable data models and tools for impactful analysis.
- Company: Ludonautics, a forward-thinking company with a collaborative spirit.
- Benefits: Flexible hours, pension contributions, and a bonus scheme based on success.
- Why this job: Join a remote-first team and make a real difference in data science.
- Qualifications: Master's degree in STEM or equivalent experience; proficiency in Python and SQL.
- Other info: Enjoy dynamic co-working days in London and excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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 Desired experience:
- Master's degree in a STEM field, or equivalent experience in technical/analytical roles
- Python
- SQL
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
Flexible hours, Pension Contributions, Bonus scheme based on the success of our clients and of the company. We welcome applicants of all backgrounds and identities.
Data Scientist in London employer: Ludonautics
Contact Detail:
Ludonautics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when collaborating with engineering and client teams.
✨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 proactive about their job search!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, as well as any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Data Scientist role at Ludonautics and how you can contribute to our team. Be genuine and let your personality come through.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've developed and deployed statistical models or built tools that improved processes. We love seeing how you tackle challenges and deliver results!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've approached complex problems in the past. Think of examples where you documented different approaches and the reasoning behind your choices. This will demonstrate your analytical thinking and ability to communicate effectively.
✨Understand the Company’s Needs
Research Ludonautics and their current projects. Familiarise yourself with their data tooling and models. Being able to discuss how your skills can directly benefit their operations will set you apart from other candidates.
✨Be Ready for Collaboration Questions
Since this role involves working closely with engineering and client-facing teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and adaptability, especially in remote settings.