Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
As a Barclays Data Scientist, you will develop the data analytics strategy and models from the extensive sets of data that is collected across multiple contact points within our Cards Platforms function. You will have the opportunity to focus on modernizing and automating processes and pipelines to facilitate faster time to market for releases, as well as adopting world class best practices in Data Modelling and Machine Learning to improve operational rigor and quality.
Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We've helped millions of individuals and businesses thrive, creating financial and digital solutions that the world now takes for granted. An important and growing presence in the USA, we offer careers providing endless opportunity.
What will you be doing?
What we’re looking for:
Skills that will help you in the role:
Where will you be working?
At Barclays, we are proud to be redefining the future of finance and here at Whippany we are defining the future of the workplace and the future of the way we work and live. We are creating a unique community, one of four strategic tech-enabled hubs that will redefine opportunity for everyone who works here. Whatever you do at Whippany, you’ll have every chance to build a world-class career in this world-class environment.
Barclays is a British multinational universal bank, headquartered in London, England. Barclays operates as two divisions, Barclays UK and Barclays International, supported by a service company, Barclays Execution Services.