One of the largest global banks, headquartered in London, is seeking a Data Scientist to join a centralised team dedicated to Data Science and Engineering. This divisions purpose is provide insights to drive wider business performance. The successful applicant will be part of a disruptive, innovative, game-changing initiatives across the bank that will impact millions of customers. This division is undoubtedly a leader within the financial services industry.
Drive improvements to business performance through advanced analytics and insight
Work with business or function teams to deliver initiatives
Develop and implement analytically based solutions to understand market and business trends and, generate long term solutions
Development, implementation and testing of strategies that lead to improved business performance and, consumer satisfaction
Provide necessary analytical guidance to new products and service functions as required
Provide creative insight to business wide initiatives
Consult with a range of stakeholders at a very high level
What’s required of a Data Scientist:
Must have a clear understanding and experience in performing data analysis using statistical packages such as R, Python, Scala
Extensive experience with machine learning techniques, demonstrating practical application in a business environment
Ability to see the big picture and recognise the impact and opportunities across the business
Clear understanding of the methods underlying predictive modelling and statistical analysis
Completion of a degree in a numerate subject or, significant relevant experience
Previous experience as a data scientist within a relevant industry
Clear experience with data tools and technologies, such as Hadoop, Pig, Hive, SQL, Python, Java, R, SAS
As a Data Scientist within this division you will get a breadth of exposure that would be very difficult to achieve elsewhere. The aim of this division will be to educate and, develop the Financial Services market subsequently helping millions of customers in a positive manner globally.
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