Senior Data Scientist
Listed on 2026-02-17
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer, AI Engineer
Join us as a Senior Data Scientist at Barclays, 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.
To be successful as a Senior Data Scientist, you should have experience with:
- Statistical analysis and modelling - Proficiency in applying statistical methods / modelling 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 the 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 in either London, Glasgow or Northampton.
Purpose of the roleTo 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- Identification, collection, 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, appraisal of performance relative to objectives and determination of reward outcomes
- If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
- OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will 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; providing advice to People Leaders to support the resolution of escalated issues.
- Identify ways to mitigate risk and developing 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, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub‑function.
- Collaborate with other areas of work, for business aligned support areas to keep up to speed…
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