Purpose of the role
To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Accountabilities
Assistant Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Essential Skills/Basic Qualifications:
Bachelor or masters degree in data science (or similar) or equivalent commercial experience
Commercial experience in applying machine learning techniques to generate business value (e.g. clustering, classification, regression, NLP techniques) – interest/experience in deep learning is beneficial.
Ability to write close to production standard code with strong understanding of key coding principals e.g. separation of concerns, generalisation of code. Strong experience in Python and SQL is a must.
Ability to translate technical work into business terms and communicate value to business stakeholders.
Knowledge of code management methodologies and ability to implement these on projects.
Comfortable working with AWS data science services including Sagemaker
Experience of working in a big data environment using PySpark
Experience in a data visualisation software (Tableau – preferable /Qlikview/PowerBI or similar)