Data Scientist

Glasgow, Scotland

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Date live: Feb. 26, 2026

Business Area: Digital, Data & Analytics

Area of Expertise: Data & Analytics

Reference Code: JR-0000097407

Contract: Permanent

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Join us as a Data Scientist and work closely with senior business stakeholders, uncover, shape and deliver data science projects that enable the realisation of significant (£m) commercial value, Generate sound actionable strategic insights from enormous amounts of raw data through the intelligent application of a broad range of advanced quantitative analytical and statistical techniques from fields such as statistic pattern recognition, machine learning, multivariate data analysis and systems dynamics. You will design, build and test complex business and customer behaviour forecasting models and perform scenario simulations

Key Skills:

Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders
Experience with multiple of the following methods: PCA, MDS, factor analysis, regression analysis, choice models, cluster analysis, density estimation, kernel methods, Bayesian methods, classification, decision trees, MCMC, systems dynamics, gradient boosting, NLP
Significant experience applying machine learning methods with big data technologies.
Significant experience in Python and the key analytical and machine learning libraries. Able to write production quality code with strong grasp of key coding principles: e.g. separation of concerns, generalisation of code.
Experience on building and deploying in cloud infrastructure such as AWS, Azure or GCP
Experience in leading on, building and deploying enterprise GenAI projects,
Deep understanding of LLMs, GenAI frameworks and techniques e.g. RAG, Agentic AI, evaluation and monitoring
Ability to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning
Actively seeks out and applies new analytical methods that can improve the speed and quality of the decision takes within Barclays Business
Experience in providing technical mentoring to more junior colleagues

Desirable skills

Masters or PhD in a highly numerate discipline such Statistics, Mathematics, Physics, Computer Science or Engineering with a strong programming background
Experienced in creating business models, both financial and consumer behavioural
Extensive experience of statistical analysis, data mining and visualisation techniques

Experience of data warehouse and MI environments and practises with good working knowledge of SQL and at least one business intelligence package (Tableau/PowerBI)
Experience in PySpark and a Hadoop environment
Project management and cross functional matrix leadership experience

Experience in line management of data scientists

Experience in front end development frameworks such as Angular/React/ Flask/Streamlit
Modular code frameworks e.g MVC Architecture

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 will be based in Glasgow or London

Purpose of the role

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.

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.

Assistant Vice President Expectations

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 with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include 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.