Job Description
Job Title:
Data Scientist Location:
Widnes (originally on-site then move to a hybrid arrangement) Salary:
£45,000 - £65,000 Yoh have partnered with a rapidly scaling business that is pioneering and leading a data-driven technologies approach using sensor & signal detection, primarily serving clients in the Water and Oil & Gas industries. They have recently completed another round of funding and signed off on several large projects to support the product roadmap and further develop their R&D functionality. They are looking to scale the team by hiring multiple individuals to bolster their data capabilities. Located on the outskirts of the Liverpool area, they ideally seek someone to join the team on-site initially to embed within the team, with the potential to transition to a hybrid arrangement as understanding grows. Responsibilities: Implement data and machine learning methods for training and validating results. Apply signal processing techniques to improve algorithm performance. Process and visualize datasets, discussing performance and accuracy. Minimum Requirements: Experience with Python programming focused on data manipulation and analysis. Experience with large datasets, performing containerization, clustering, classification, and regression with technologies such as Docker. Experience with image processing/DAS sensors is beneficial but not required.
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Job Title:
Data Scientist Location:
Widnes (originally on-site then move to a hybrid arrangement) Salary:
£45,000 - £65,000 Yoh have partnered with a rapidly scaling business that is pioneering and leading a data-driven technologies approach using sensor & signal detection, primarily serving clients in the Water and Oil & Gas industries. They have recently completed another round of funding and signed off on several large projects to support the product roadmap and further develop their R&D functionality. They are looking to scale the team by hiring multiple individuals to bolster their data capabilities. Located on the outskirts of the Liverpool area, they ideally seek someone to join the team on-site initially to embed within the team, with the potential to transition to a hybrid arrangement as understanding grows. Responsibilities: Implement data and machine learning methods for training and validating results. Apply signal processing techniques to improve algorithm performance. Process and visualize datasets, discussing performance and accuracy. Minimum Requirements: Experience with Python programming focused on data manipulation and analysis. Experience with large datasets, performing containerization, clustering, classification, and regression with technologies such as Docker. Experience with image processing/DAS sensors is beneficial but not required.
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