51 to 56 of 56 Remote Machine Learning Scientist Jobs

growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing … have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience ...

growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing … have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience ...

growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing … have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience ...

growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing … have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience ...

growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing … have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience ...

growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing … have: Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap Experience ...