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Data Scientist

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Barclays

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Location:
United Kingdom , Glasgow ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

A career in Data & Analytics at Barclays is a hub for top talent, from beginners to experts, fostering innovation and excellence. You'll drive business strategy, leverage data potential, and enhance the experience of millions of customers in today’s data-driven world. 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. 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.

Job Responsibility:

  • 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
  • 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
  • Influence or convince stakeholders to achieve outcomes

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • Fitness Suite
  • fitness classes
  • an on-site GP
  • a bicycle store
  • rooftop bar
  • clubs and societies
  • working parents club
  • hybrid working
  • structured approach to hybrid working

Additional Information:

Job Posted:
March 01, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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