Senior Data Scientist

Join us as a Data Scientist at Barclays, Glasgow, United Kingdom, where you'll be responsible for transforming complex data into actionable insights that drive strategic growth and innovation. You'll harness AI and advanced machine learning techniques to transform raw data into strategic insights that drive business decisions and competitive advantage.

• Identification, collection, and extraction of data from various internal and external sources.
• Data cleaning, wrangling, and transformation to ensure quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to identify opportunities to extract value from data through Data Science.

• Statistical analysis and modelling — Proficiency in applying statistical methods to data
• Programming in Python — Ability to code in Python and contribute to codebases
• Data manipulation — Experience querying large datasets (SQL / PySpark)

• Machine learning / AI expertise — Advanced knowledge of ML / AI algorithms and their applications
• Financial domain knowledge — Understanding of banking products, risk frameworks, and regulations
• Data visualization — Ability to create compelling visual representations of complex data insights

You may be assessed on core skills relevant for success in the role, including risk and controls, change and transformation, business acumen, strategic thinking and digital/technology skills.

This role can be based in either London, Glasgow, Manchester or Northampton.

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank\'s data reserves, informing strategic decision-making, improving operational efficiency, and driving innovation across the organisation.

• Data identification, collection, and extraction from various sources.
• Data cleaning, wrangling, and transformation to ensure data quality for analysis.
• Development and maintenance of data pipelines for automated data acquisition and processing.
• Design and implementation of statistical and machine learning models to analyse data patterns and trends.
• Development and deployment of predictive models to forecast outcomes and identify risks and opportunities.
• Collaborate with business stakeholders to identify opportunities to add value from data through Data Science.

• Advise and influence decision making, contribute to policy development, and support operational effectiveness.
• Lead a team or collaborate on complex tasks, set objectives, coach and evaluate performance.
• Demonstrate leadership behaviours (Listen, Energise, Align, Develop) or guide cross-functional collaboration as an individual contributor.
• Consult on complex issues and support issue resolution for People Leaders.
• Identify risk mitigation opportunities and contribute to governance and policy development.
• Take ownership for managing risk and strengthening controls related to the work.
• Engage in complex analysis across multiple data sources to solve problems creatively and effectively.
• Communicate complex information clearly to varied audiences and influence stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship and the Barclays Mindset to Empower, Challenge and Drive.

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• Banking and Financial Services