Senior Data Scientist - Cricket

Pythia Sports
City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - National Security (TIRE) based in Cheltenham/H

Senior Data Scientist and Machine Learning Researcher

Pythia Sports are looking for a creative thinking and experienced person to join their established in-house modelling team as a Senior Data Scientist in cricket modelling and simulation. The purpose of the role is to develop, and conduct statistical analysis of, human-interpretable predictive models for a cricket prediction pipeline.


Currently working hybrid from our central London office.


As a Senior Data Scientist you will:

  • Have a deep understanding of the data, its limitations and meaning, including the investigation of data validity
  • Uncover trends in multiple sports datasets
  • Build and maintain data-driven predictive models
  • Research and apply novel modelling techniques
  • Build and maintain model validation metrics to regularly track performance
  • Have awareness of the limitations of any model output
  • Have an understanding of statistical robustness and validity.

Key Skills / Qualifications

  • Multiple years experience in a team-leading role utilising advanced statistics and modelling techniques – preferably in a sporting context
  • PhD or equivalent industry experience with data
  • Strong programming skills, with a preference for Python
  • A long and proven track record of using data to solve complex problems
  • Experience working with cloud computing (desirable).

Attributes and experience that would also be a big plus

  • A keen interest in cricket, especially limited overs cricket
  • Previous professional experience working with cricket analytics

Candidate Overview

The successful Senior Data Scientist will be an innovative, self-driven person with high levels of integrity. They will be working closely with local and remote teams and therefore need to be highly communicative, but also work well independently. They must be well organised and have the ability to handle multiple projects simultaneously.


This is a hybrid role with London Victoria office attendance expected twice a week.


What to expect from the selection process

  • CV screening
  • 1st interview with Modelling team
  • Take home data challenge
  • Final interview split between senior management team and Cricket team. All stages are eliminatory.

Company Overview

Pythia Sports is a fast growing technology company with a focus on predictive sports modelling and data collection. We focus on being the best at what we do and recognise that our success comes from having the best employees and keeping them happy. We pride ourselves on hiring talented, creative and free thinkers.


Here you will find a relaxed atmosphere, monthly social events and amazing people!


We also offer private health and dental insurance, cycle to work scheme, enhanced paternity and maternity leave, enhanced sick pay, 36 days holiday total allowance and exciting development opportunities.


Pythia Sports employees are expected to embrace the company philosophy of integrity combined with innovation and cutting edge technology.


#J-18808-Ljbffr

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.