Managing Data Scientist

Day-to-Day Responsibilities

• Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases.
• Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation.
• Provide hands‑on technical leadership, reviewing Python code, model design, distributed computing approaches, and architectural decisions.
• Manage and develop a team of data scientists, setting standards for technical excellence, delivery discipline, and stakeholder engagement.
• Engage senior stakeholders (1
  
  LOD, Compliance, Control Owners, Technology) to prioritise initiatives, resolve competing demands, and ensure regulatory alignment.

• Extensive experience building and deploying machine learning models in production, with strong hands‑on Python capability.
• Experience with distributed computing frameworks (e.g., Spark or similar) and scalable data processing environments.
• Exposure to cloud‑based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices.
• Proven track record managing and growing high‑performing data science teams, including technical mentoring and delivery accountability.
• Strong stakeholder management skills, able to operate in complex, regulated environments; experience in Financial Crime or related risk domains is advantageous.

To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision‑making

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools.
• Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implementation of analytics and models in accurate, stable, well‑tested software and work with technology to ope rationalise them.
• Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.

• To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide..
• They manage the direction of a large team or sub‑function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.
• Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub‑function.
• Escalates breaches of policies / procedure appropriately.
• Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.
• Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.
• Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.
• Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up‑to‑date relevant sector / functional…