Senior Machine Learning Scientist improving customer and business outcomes using ML and statistical modeling. Working with experienced team and involved in end-to-end model development.
Responsibilities
improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling
working alongside a team of very experienced ML Scientists
owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring
exposure to all Borrowing products and applications
work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap
think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models
Requirements
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 of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry
Great attention to details while keeping an eye on the big picture
Excellent communication skills to articulate complex problems
Capability to build mutual respect and trust with people of different background
Benefits
stock options
Learning budget of £1,000 a year for books, training courses and conferences
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