Data Scientist - Modelling Team

This organisation researches and builds predictive analytics for sports, using advanced techniques and technologies.

Develop new predictive approaches and models for our target sports (racing), using a variety of tools, including standard statistical learning, probabilistic programming, and neural networks.D

• Develop new predictive approaches and models for our target sports (racing), using a variety of tools, including standard statistical learning, probabilistic programming, and neural networks.
• Work with specialists on feature development, and with clients on model utility (i.e. low bias predictive performance), with a continuous improvement mindset for operational models.
• Research and experiment on new predictive modelling techniques to improve current modelling system.
• Define and build data pipelines to drive modelling.
• Define and build tests and reports on input data integrity (including statistical checks on e.g. covariance), and predictive performance, likely creating custom approaches to do so.
• Work within professional best practice for model development, including test automation and version control.
• Adhere to the very strictest standards for IP protection and security.

  
Qualifications:   

• PhD or equivalent professional experience in either Maths, Statistics, Computer Science (AI/ML), or other relevant quantitative fields.
• Proficient in machine learning tools and approaches.
• Proficient in R, Python, SQL among others scripting and programming languages.
• Familiarity with public cloud computing (AWS, Google, Azure).

  
 Experience:   

• Research and/or industry experience in machine learning (Bayesian prob. modelling, neural nets among others), feature selection, statistics.
•  Industry experience is not a requirement, we invite applications from qualified candidates still working in research/academia
• Minimum 2 years’ experience in data science projects which requires working with high dimensional/big data.
• Preferable to have a scientific background in working with small n and large datasets.
• Research experience in exploratory data analysis.
• Desire to innovate and bring scientific rigor to modelling.

Apply Now!  Nicolle Hann-Dunbavin
Additional information

• Machine Learning, Deep Learning, Maths, Stats, R, Python, SQL, Cloud
• Work with brilliant minds in predictive analytics
• Subsided health care for your family & up to 15% bonus, hybrid work