Lead Data Scientist
As a Barclays Lead Data Scientist you will be joining the team at an exciting time. We are developing state-of-the-art large-scale Machine Learning solutions on huge amounts of data. As part of the ML team, you will work with the data experts to create business-impacting solutions.
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.
This opportunity is location flexible. We will consider requests for locating the role at an alternative Barclays' key UK office from that advertised.
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
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 are able to 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?
‘You will be working on data science use cases end-to-end from data discovery to operationalizing
‘Understanding the Machine Learning, data mining and statistical techniques to create scalable solutions for business problems
‘Experimenting & identifying best methodstechniques, algorithms for issues
‘Helping to build best-in-class solution architecture, standards, best practices for Machine learning
‘Working with business, technology, and control groups to define/refine scope, data source, statistical elements, system integration
‘You will also be managing the delivery of the data models
What we're looking for:
‘Deep understanding of machine learning and data mining, including tools and processes
‘Hands of experience and knowledge around feature engineering, dimension reduction and model optimization using gradient decent, PCA etc
‘Experience of AWS services esp to deliver AIML solution
‘Experience in delivering NLP, Chatbots solution
Skills that will help you in the role:
‘An MSc/PhD in Machine Learning, Computer Science, Mathematics, Statistics, Data Science or a highly quantitative field
‘Understand business context, study related data sources, build descriptive statistics and develop machine/deep learning models. Evaluation and finalization of analytical models
‘Experience working with large data sets in order to extract business insights or build predictive models
‘Broad knowledge of applied mathematics (probability, statistics, linear algebra)
Where will you be working?
You will be based in Radbroke, Knutsford. The Barclays Technology Campus just outside Manchester is our tech command centre and a vital strategic powerhouse behind our global operations. The campus is set in a 64 acre self-contained site, in a beautiful green environment and it offers unrivalled facilities for work and for play. We have an onsite gym, as well as outdoor tennis, football and cricket areas, as well as onsite restaurant and coffee shops.