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.
AccountabilitiesIdentification, collection, and extraction of data from various sources, including internal and external sources.
Performing data cleaning, wrangling, and transformation to ensure its 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 seek out opportunities to add value from data through Data Science.
To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
Collaborate closely with other functions/business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Set objectives and coach employees in pursuit of those objectives, appraise performance relative to objectives and determine reward outcomes.
Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
Identify new directions for assignments and/or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; provide advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, requiring an understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub function.
Collaborate with other areas of work to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external, to solve problems creatively and effectively.
Communicate complex information, including sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.
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.
Join us as a Senior Data Scientist at Barclays, where you will be responsible for transforming complex data into actionable insights that drive strategic growth and innovation. You will harness AI and advanced machine learning techniques to transform raw data into strategic insights that drive business decisions and competitive advantage.
RequirementsThis role can be based in either London, Glasgow or Northampton.
Work ExperienceOur Work Experience is the combination of everything unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, and most importantly, our people.
Our employees are self disciplined, hard working, curious, trustworthy, humble, and truthful; they make choices according to what is best for the team, live for opportunities to collaborate and make a difference, and help make us the Top Workplace in the area.