Machine Learning Scientist

2 weeks ago


Manchester, United Kingdom Starling Bank Full time
About the Role

We are seeking a talented Data Scientist to join our team at Starling Bank. As a Data Scientist, you will play a key role in delivering data-driven solutions and insights to improve the speed, efficiency, and quality of decision-making across the bank.

Responsibilities
  • Collaborate with technical and non-technical teams to deliver insights that support the wider business
  • Build, test, and deploy machine learning models to improve and/or automate decision-making
  • Provide insightful analytics across the bank to assist with decision-making
  • Engage with Engineering teams to ensure data points are captured that are relevant and useful for insights and modeling
Requirements
  • Demonstrable industry experience in Data Science/Machine Learning, with a focus on Financial Crime, Anti-money laundering, Transaction monitoring, and Anomaly detection
  • Excellent skills in Python and SQL, with experience with libraries such as Scikit-learn, Tensorflow, and Pytorch
  • Strong data wrangling skills for merging, cleaning, and sampling data
  • Strong data visualization and communication skills
  • Understanding of the software development life cycle and experience using version control tools such as git
  • Demonstrable experience deploying machine learning solutions in a production environment
What We Offer
  • 33 days holiday (including public holidays), with an extra day's holiday for your birthday
  • Annual leave increased with length of service, and the option to buy or sell up to five extra days off
  • 16 hours paid volunteering time a year
  • Salary sacrifice, company-enhanced pension scheme
  • Life insurance at 4x your salary & group income protection
  • Private Medical Insurance with VitalityHealth, including mental health support and cancer care
About Us

Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. We're on a mission to radically reshape banking – and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems.



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