Data Scientist Leader
1 week ago
Role Overview:
This is an exciting opportunity to work on a dynamic range of projects developing and using novel techniques and undertaking ground-breaking research and experimentation at the forefront of science.
As a statistical data scientist, you will lead a range of statistically focused data science projects, helping to increase the use of machine learning, artificial intelligence, and data science capability across the division. You will support the development of an in silico capability leveraging emerging Digital Twin technology, advances in modular multi-fidelity modelling, and AI powered uncertainty quantification.
Key Responsibilities:
• Lead statistically focused data science projects to increase the use of machine learning, artificial intelligence, and data science capability across the division.
• Support the development of an in silico capability leveraging emerging Digital Twin technology, advances in modular multi-fidelity modelling, and AI powered uncertainty quantification.
• Provide advice and carry out analysis for complex statistical research and help to develop tools for analysis, exploration and visualisation of CBR data.
• Set the technical direction of work, mentor and develop staff across the team and wider lab, provide information to customers, and work with our academic and industry partners.
Requirements:
• A degree in a relevant subject area, or commensurate experience.
• Experience in techniques such as Bayesian inference, mixed effects modelling, machine learning or bioinformatics.
• Data science research and development using R, Python, Java and/or other relevant languages.
• Experience in visualisation and explanation of uncertainty.
• Interest in the development and application of novel statistical applications.
• Experience in technical leadership in studies or projects, people management or consulting.
Desirable Skills and Experience:
• Master's degree or PhD in a relevant area.
• Handling, curating, manipulating and analysing complex, high volume and high dimensionality data.
• Experience in data management and databases.
• Knowledge in version control (i.e. Git).
• An active membership or fellowship of a relevant professional body is desirable.
How to Apply:
Applications are invited from suitably qualified candidates who share our passion for delivering high-quality science and technology solutions. If you are interested in this opportunity, please submit your latest CV in response to this advertisement.
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