Data Scientist

Barclays

28d•$110,000 - $155,000

About The Position

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. Embark on a transformative journey as a Data Scientist. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. As a Data Scientist within USCB Operations, you will enhance our modeling and analytics capabilities by designing, developing, and deploying Machine Learning, Generative, and Agentic AI models. Your work will focus on improving operational efficiency, elevating customer and colleague experiences, and supporting strategic decision-making. This role involves building large-scale data pipelines, utilizing cloud infrastructure (primarily AWS), and applying generative AI techniques to drive innovation. You’ll collaborate across teams to turn complex data into actionable insights and scalable solutions.

Requirements

Relevant knowledge in areas such as data science, computer science, statistics, or other related technical fields
Experience building and deploying machine learning models using Python or similar languages in cloud environments
A solid understanding of data exploration techniques and working with streaming data pipelines
Familiarity with AWS services such as S3, SageMaker, Lambda, and Bedrock to support data science workflows

Nice To Haves

Exposure to generative and agentic AI frameworks, including techniques for fine-tuning and orchestration
Familiarity with MLOps practices and tools for model lifecycle management
Prior experience in financial services, risk modeling, or operational analytics

Responsibilities

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.
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
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; 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.

Benefits

Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.
This position is eligible for an incentive award.

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