Data Scientist Chief Controls Office

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We are looking for a highly skilled Data Scientist to join our Chief Controls Office Data Analytics team at Barclays. We work collaboratively with stakeholders across the Bank, delivering advanced analytics (including AI/ML) solutions to drive proactive risk management, create measurable business impact and continuously monitor control performance. As a Data Scientist, you will use innovative data analytics and ML/AI techniques to deliver valuable insights, proactively identifying areas of emerging risk, strengthening controls and improving operational efficiency.

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• Experience of developing and delivering GenAI tools to production, including the capability to evaluate model performance.
  
• Extensive experience of application of data science and analytics techniques to solve business problems.
  
• Production-grade capability in programming languages such as Python and SQL.
  
• Capability to partner effectively with senior stakeholders to align expectations, manage delivery, secure buy-in for data science initiatives and convey complex technical concepts to non-technical stakeholders.
  
• Experience leading cross-functional data science projects, managing delivery and mentoring junior colleagues.
  

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• Experience working in a regulatory / audit environment.
  
• Experience working with 3rd Party providers of AI solutions.
  
• Familiarity with data visualisation techniques.
  

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.

The successful candidate will be based in Knutsford.

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.

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• 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.
  

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• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures.
  
• If managing a team, define jobs and responsibilities, plan for future needs and operations, counsel employees on performance and contribute to pay decisions. Lead specialists to influence operations while balancing short and long term goals and ensuring budgets and schedules meet corporate requirements.
  
• If in leadership, demonstrate 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.
  
• For individual contributors, be a subject matter expert and guide technical direction, leading multi-year assignments and mentoring others as needed.
  
• Advise key stakeholders on functional and cross-functional areas of impact and alignment.
  
• Manage and mitigate risks in support of the control and governance agenda.
  
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
  
• Demonstrate understanding of the organisation to contribute to business goals.
  
• Collaborate with other areas to keep up to speed with business activity and strategies.
  
• Create solutions based on sophisticated analytical thinking and problem solving.
  
• Adopt and include the outcomes of extensive research in problem solving processes.
  
• Build and maintain trusted relationships with internal and external stakeholders to achieve key objectives, using influencing and negotiating skills.
  

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship, and the Barclays Mindset to Empower, Challenge and Drive.

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• Mid-Senior level
  

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• Full-time
  

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• Engineering and Information Technology
  

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• Banking and Financial Services
  

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