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. Following a successful funding round, they have signed off on several large projects to support their product roadmap and further develop their R&D functionality. They are looking to scale the team by hiring multiple individuals to enhance their data capabilities. Located on the outskirts of the Liverpool area, they are ideally seeking someone to join the team onsite initially to foster collaboration, with the potential to transition to a hybrid arrangement as understanding grows. Responsibilities:
Implement data and machine learning-based 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, including containerization, clustering, classification, and regression using technologies such as Docker. Experience with image processing or DAS sensors is beneficial but not required.
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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. Following a successful funding round, they have signed off on several large projects to support their product roadmap and further develop their R&D functionality. They are looking to scale the team by hiring multiple individuals to enhance their data capabilities. Located on the outskirts of the Liverpool area, they are ideally seeking someone to join the team onsite initially to foster collaboration, with the potential to transition to a hybrid arrangement as understanding grows. Responsibilities:
Implement data and machine learning-based 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, including containerization, clustering, classification, and regression using technologies such as Docker. Experience with image processing or DAS sensors is beneficial but not required.
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