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Senior Data Scientist

barclays

Location:
United Kingdom , London ▼
Glasgow

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Seeking 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.

Job Responsibility:

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
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Execution of data cleansing and transformation tasks to prepare data for analysis
Designing and building data pipelines to automate data movement and processing
Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems
Documentation of data quality findings and recommendations for improvement

Requirements:

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

Additional Information:

Job Posted:
December 23, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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