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Senior Data Scientist
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Widnes
Hybrid
GBP 60,000 - 80,000
Full time
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Job summary
An innovative firm is seeking a Senior Data Scientist to join their dynamic team. This role involves implementing cutting-edge data and machine learning methods, focusing on signal processing to enhance algorithm performance. The company is at the forefront of data-driven technologies in the Water and Oil & Gas industries, providing a unique opportunity to work on impactful projects. The ideal candidate will have a strong analytical mindset and experience with AWS SageMaker, contributing to the research and cleansing of extensive data sets. This position offers a chance to be part of a rapidly scaling business that values creativity and technical expertise.
Qualifications
- Experience with large data sets and a strong analytical mindset.
- Proficiency in machine learning and signal processing techniques.
Responsibilities
- Implement data and machine learning methods for validation.
- Apply signal processing techniques to enhance algorithm performance.
Skills
Education
Tools
Job description
Job Description
Job Title: Senior Data Scientist
Location: Widnes (originally on-site then move to a hybrid arrangement)
Salary: £60,000 - £80,000
Note: They are unable to provide sponsorship at this time.
Yoh have partnered with a rapidly scaling business that is pioneering and leading a data-driven technologies approach using sensor & signal detection, with most of their work coming from clients within the Water and Oil & Gas industry.
Responsibilities:
- Implement data and machine learning-based methods for training and validating results.
- Apply signal processing techniques to improve algorithm performance.
- Research old and new techniques for signal processing and machine learning algorithms to identify training and deployment techniques.
This position would suit someone with experience working with large data sets and a mathematical and analytical mindset. They are looking for senior engineers to join the team working with AWS SageMaker for AI and ML, as well as research and cleansing of data sets.
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