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Date live:
Aug. 14, 2025
Business Area:
Digital, Data & Analytics
Area of Expertise:
Data & Analytics
Reference Code:
JR-0000065466
Contract:
Permanent
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Explore locationSeeking a talented Senior Data Scientist to join our Data Science team, dedicated to driving commercial value from data across the Corporate Bank. In this role, you will have the opportunity to shape and lead projects with other members of the team - leveraging machine learning techniques and advanced analytics to extract valuable insights and create tangible business impact. We embrace a design-led thinking approach that emphasizes close collaboration with business stakeholders and a fail-fast mindset. This position offers the chance to work with extensive datasets that span billions of rows, applying state-of-the-art data science techniques to unlock millions in business value.
Key Responsibilities:
Lead Data Science projects leveraging your deep technical skillset in machine learning to guide and mentor other members of the team.
Develop machine learning models that deliver commercial value for the Corporate Bank.
Critique and suggest ways in which technical methodologies can be improved on projects within the team. Verify that outputs being produced by the team are technically sound and accurate.
Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science.
Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects.
Essential Skills and Qualifications:
Extensive experience in delivering Data Science projects in a commercial context.
Expert in machine learning techniques (e.g., clustering, classification, regression, NLP)
Ability to write production standard code in Python with a strong grasp of coding principles
Ability to articulate technical findings in business terms and demonstrate value to stakeholders.
Familiarity with AWS data science services, including SageMaker.
Experience working with big data environments, particularly using PySpark.
Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role can be based from Glasgow or London.
Purpose of the role
To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.
Accountabilities
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.