Data Scientist with Expertise in Fraud Prevention
7 days ago
Exciting opportunity to make a real impact at NatWest, driving data-driven culture and protecting Wealth and Retail customers.
About the RoleWe're seeking an experienced Data Scientist to join our team, bringing together statistical, mathematical, machine-learning, and software engineering skills to develop and implement ethically sound models end-to-end. As a key member of our Fraud CoE and Data Analytics teams, you'll collaborate effectively, showcase experiments, and share best practices and techniques using repository tools like Gitlab.
You'll work closely with business stakeholders to define detailed business questions, problems, or opportunities supported through analytics. Applying a software engineering and product development lens, you'll create, scale, and deploy software-driven products and services in an Agile way within multi-disciplinary data and analytics teams.
The role involves selecting, building, training, and testing machine learning models considering model valuation, model risk, governance, and ethics. You'll iteratively build and prototype data analysis pipelines to provide insights leading to production deployment. Your expertise will be crucial in steering business priorities and performance within financial services knowledge.
A strong academic background in a STEM discipline is essential, along with experience in statistical modeling, machine learning techniques, and operating independently within a geographically distributed team. We're looking for individuals who can use data to solve business problems from hypotheses through resolution, leveraging programming language and software engineering fundamentals.
A competitive estimated salary for this position is £60,000 - £80,000 per annum, based on location and industry standards. This compensation reflects the level of expertise required for the role and the company's commitment to attracting top talent.
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