This is an exciting opportunity with a well established, privately owned, British technology company that is one of, if not the largest player in their industry.
The role
This is an opportunity to work with cutting-edge datasets, ML techniques and predictive models. You will collaborate with data engineers and other specialists across the business to design sophisticated models that support the wider data platform.
Key responsibilities
* Building and improving statistical and machine learning models using large datasets.
* Exploring data to identify patterns and insights that help inform real-time decisions.
* Developing predictive models to support sports analytics and automated processes.
* Testing and validating models using both historical and live data to make sure they perform well.
* Working closely with subject matter experts (SME’s) to bring industry knowledge into the modelling process.
* Collaborating with engineers and other technical teams to align technical solutions with live platforms.
* Continuously refining models to improve their accuracy and efficiency.
* Keeping up to date with new developments in data science and applying useful techniques where relevant.
* Supporting and reviewing the work of junior / mid Data Scientists when needed.
* Helping spot new ways data can be used to improve products and generate insights.
About you
* A strong track record of developing and deploying predictive models in complex environments.
* A degree in a quantitative field such as mathematics, statistics, computer science, or data science.
* Deep understanding of probability, statistical modelling, and analytical techniques applied to real-world problems.
* Advanced programming experience in Python or R, with experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
* Excellent communication skills with the ability to explain technical concepts clearly to a variety of stakeholders.
* Strong interest in sports and data-driven decision making.
* Exposure to cloud-based platforms or distributed computing environments.(Preferably GCP however AWS and Azure will be considered)
The role offers:
* Complex and intellectually stimulating work
* Opportunities to influence large-scale analytical systems
* Access to extensive datasets and modern machine learning tools
* Career development within a growing data science function
* Hybrid working and a supportive technical environment
If you’re passionate about analytics, ML and want to make a real impact within a growing DS function, this could be the role for you.
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