Barclays Data & Analytics Job Openings 2026 – Apply Soon!

Qualifications

Basic/ Essential Qualifications:

• Recognised degree/ certification in STEM discipline.
• Strong verbal and written communication skills, and ability to interface with Business and CCO teams.

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.

Basic/ Essential Qualifications:

• Experience performing quantitative analysis given a defined scope and translating results into meaningful business insights. Ability to adapt and appreciate changing business contexts
• Ability to identify and learn emerging DS and AI tools and technologies and utilise them to deliver practical business solutions; be a self explorer.
• Experience on Python, SQL, and strong ability to work with large and complex data.
• Knowledge of best practices in data storage, retrieval, and manipulation and data visualization techniques.

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.