IRB model development/validation and decision support model relates roles. A bachelor's degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, appliedmathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.); Ideally have Advanced level of SAS more »
Manchester, England, United Kingdom Hybrid / WFH Options
SYSTRA
Hands-on experience in preparation of data, cleaning and transforming it for downstream data science tasks Strong problem-solving skills which can be applied to client challenges and resolving issues that arise from implementation of data science solutions Strong verbal and written communication skills with the ability to … passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, AppliedMathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale more »
London, England, United Kingdom Hybrid / WFH Options
Penna
of the organisation, other security agencies or work abroad. About You As a Data Scientist, you’ll need to demonstrate your knowledge and applied experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory … Digital and Data Profession Capability Framework for the role. This will draw on your skills and experience in the area(s) detailed below ● AppliedMaths, Statistics and Scientific Practices ● Programming and Build (Data Science) ● Data Science Innovation ● Data Engineering (Data Science) For more details, please click the link more »
London (SW1P 4RG), London, United Kingdom Hybrid / WFH Options
Penna
of the organisation, other security agencies or work abroad. About You As a Data Scientist, you’ll need to demonstrate your knowledge and applied experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory … Digital and Data Profession Capability Framework for the role. This will draw on your skills and experience in the area(s) detailed below ● AppliedMaths, Statistics and Scientific Practices ● Programming and Build (Data Science) ● Data Science Innovation ● Data Engineering (Data Science) For more details, please click the link more »
