Data Scientist

  • Location

    London, England

  • Sector:


  • Job type:


  • Salary:

    £70000 - £70001 per annum

  • Contact:

    Talia Allos

  • Contact email:

  • Job ref:


My client is an online publishers focussed on the sports market and betting. They add value to sports betting practices with superb content. They drive their audience engagement and growth through their various sister companies and are present In the both the UK and the US. They consistently find various ways in adding value to the ever changing needs of customers and driving the industry forward with increasingly attractive sports betting experiences.

Candidates will be involved in the developments of rich content and data initiative which help customers discover a smart way to bet. You will also run analytical experiences and evaluate models through various approaches in order to enable the scaling of them to grow the business.

Role Accountabilities:
*Experience using a variety of data mining and data analysis methods
*Use data tools, building and implementing models, creating algorithms and creating simulations.
*Work with stakeholders to improve business outcomes
*Research and develop custom data models and algorithms
*Develop processes to analyse model performance and accuracy
*Modelling markets in relation to betting
*Prediction cast in sport and predicting the future in an interesting domain
*Work with product management, SMEs and engineers to understand the needs of the company and come up with possible solutions in a certain timeframe
*Communicate to key decision makers
*Keep to date with the latest ever changing technology trends and adapt accordingly
*Implement maths and stats as and when needed for certain models or analysis

*A Masters or PHD in mathematics, physics, computer science or statistics.
*Commercial experience using data sets and building statistical models
*Strong problem solving skills
*Emphasis on product development in experience
*Strong Python experience
*Build end-to-end automated pipelines
*Experience creating, using, developing, and productionising a variety of machine learning techniques
*Knowledge regression, properties of distributions, statistical tests, etc and experience with its application
*Passion for sport