Data Science Lead - London, United Kingdom - RBS International

RBS International
RBS International
Verified Company
London, United Kingdom

1 month ago

Tom O´Connor

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Tom O´Connor

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Description
Our people work differently depending on their jobs and needs.

From home working to job sharing, visit the remote and flexible working page on our website to find out more.


This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.

Join us as a Data Science Lead

  • We'll look to you to actively participate in the data community to identify and deliver opportunities to support the bank's strategic direction through better use of data
  • This is an opportunity to achieve excellent exposure in a challenging role and to make a real impact with your work

What you'll do:


As our Data Science Lead, you'll be evaluating and improving business processes and products using scientific rigour and statistical methods.

You'll be supporting and collaborating with multidisciplinary teams of data engineers and analysts on a wide range of business problems including the prevention of financial crime, understanding customer interactions with the bank and the management of credit risk.


You'll also be:

  • Developing and deepening your knowledge of data structures and metrics, advocating for changes where needed for product development
  • Communicating effectively across our functions and franchises to make business recommendations, gaining business buyin to solutions tailored to customers' needs
  • Conducting analysis that includes data gathering and requirements specification in collaboration with business stakeholders
  • Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment

The skills you'll need:


To succeed in this role, you'll need evidence of previous project implementation and work experience gained in a data analysis related field as part of a multidisciplinary team.

Additionally, you'll hold a degree in a quantitative discipline or have evidence of equivalent practical experience.


You'll also demonstrate:

  • Experience with statistical software, database languages, big data technologies and cloud environments
  • Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • The ability to demonstrate leadership, selfdirection and a willingness to both teach others and learn new techniques
  • Effective written and verbal communication skills and the ability to adapt the communication style to a specific audience
  • Extensive relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods
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