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An exciting Software and Analytics scale up is looking for a Data Scientist to join their growing data team.
Focused on the IoT devices arena, this Tech-for-Good company allows the housing sector to provide technology to those that need it most, and creates a safer environment for all to live in.
The role will include:
* Develop algorithms to provide insights into the health of the properties of our clients using statistical analysis, ML models and physical models.
* Establish and maintain effective testing regimes for data scientific functions.
* Work with development teams to enhance the analytical infrastructure and deliver production ready code.
* Identify opportunities to innovate and optimise across the board, and to exploit new technology within the platform.
Experience required:
* Degree-level qualification in a relevant scientific or numerate discipline, e.g. Computer
Science, Physics, Mathematics, Statistics, or Engineering
* At least 2 year experience in commercial data science, working with diverse data sets.
* Experience in implementing and validating statistical models and analytical algorithms in
* Practical experience of major machine learning frameworks (e.g. Tensorflow, Pytorch, Pyro)
* Practical experience working with AWS, Python, SQL and Clickhouse.
Benefits include:
* Significant company performance bonus
Please note that you will be required to work in their Bristol office 4 days per week and one day from home.
So, if you would like to be part of a rapidly growing data and technology organisation where you can play a key role in the supporting external and internal clients. Apply now with the button below! Or alternatively, for more information, please get in touch on
Please note that only candidates with the relevant experience, ability to work in Bristol and have the right to work in the UK will be considered for this opportunity.
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Data Infrastructure and Analytics
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