Senior Data Scientist - Cricket

Reposted 14 Days Ago
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London, Greater London, England, GBR
Hybrid
Senior level
Information Technology • Software • Sports
The Role
The Senior Data Scientist will develop predictive models, conduct statistical analysis, and work with cricket datasets to uncover trends and validate model performance.
Summary Generated by Built In

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).

For this role, the following attributes and experience 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.

Skills Required

  • Multiple years experience in a team-leading role utilizing advanced statistics and modelling techniques
  • 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
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The Company
HQ: London
30 Employees

What We Do

Pythia Sports is a technology company with a focus on predictive sports modeling and data collection. We are passionate about the challenges that sports analysis brings; from continuously expanding data sets to developing playing styles and tactics. These developments demand that we never stand still and search hard to see if there are new angles to consider or new approaches we can try. The work requires flexible and agile mindsets to help contribute to new ideas and accurately implement them to analyse and interpret results. Our set up mirrors an academic environment, with a highly skilled and energetic team that produces complex mathematical models based around advanced technology platforms.

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