Data Scientist

Ludonautics
City of London
2 days ago
Create job alert

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:


Desired 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

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - New

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Workforce Modelling

Data Scientist/AI Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.