7.8km | , UK
|Hours||35 - 35 Hours|
|Days at home||4 Per Week|
This is an exciting opportunity to work as a Senior Data Scientist at the intersection of machine learning and financial services in the Data Science and Advanced Analytics team. We have a track record of breaking new analytical ground in Barclays using newer data sources, advanced techniques, and cutting-edge technologies. We’re now hiring for our next innovative leader to push the bank’s analytical boundaries to better serve our customers. The constantly evolving nature of our projects and partners means you will analyse a variety of data, particularly those that are unstructured, large and granular.
Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive, and creating financial and digital solutions that the world now takes for granted.
We’re committed to providing a supportive and inclusive culture and environment for you to work in. This environment recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees, globally to work flexibly empowers each of us to work in a way that suits our lives as well as enabling us to better service our customers’ and clients’ needs. Whether you have family commitments or you’re a carer, or whether you need study time or wish to pursue personal interests, our approach to working flexibly is designed to help you balance your life. If you would like some flexibility, then please discuss this with the hiring manager, and your request will be reviewed subject to business needs.
We are currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. We’re flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month, or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. We also have a flexible working process where, subject to business needs, all colleagues globally can request work patterns to reflect their personal circumstances. Please discuss the detail of the working pattern options for the role with the hiring manager.
What will you be doing?
What we’re looking for:
Skills that will help you in the role: