GenAI Product Owner

Barclays UK; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading financial institution seeks a Senior Data Scientist to lead projects that enhance data-driven decision-making in the Corporate Bank. The role demands expertise in machine learning and big data to uncover insights that drive business value. Responsibilities include mentoring, stakeholder engagement, and developing machine learning models. Candidates must have experience coding in Python and working with tools like PySpark and AWS. This position can be based from Glasgow or London.

Qualifications

• Extensive experience in delivering Data Science projects in a commercial context.
• Ability to articulate technical findings in business terms.
• Experience working with big data environments.

Responsibilities

• Lead Data Science projects and mentor team members.
• Develop machine learning models for commercial value.
• Build relationships with senior stakeholders to identify opportunities.

Skills

Machine learning techniques

Production standard code in Python

Data visualization (Tableau, PowerBI)

Tools

PySpark

AWS services (SageMaker)

Job description

Seeking a talented Senior Data Scientist to join our Data Science team, dedicated to driving commercial value from data across the Corporate Bank. In this role, you will have the opportunity to shape and lead projects with other members of the team - leveraging machine learning techniques and advanced analytics to extract valuable insights and create tangible business impact. We embrace a design‑led thinking approach that emphasizes close collaboration with business stakeholders and a fail‑fast mindset. This position offers the chance to work with extensive datasets that span billions of rows, applying state‑of‑the‑art data science techniques to unlock millions in business value.

Key Responsibilities

• Lead Data Science projects leveraging your deep technical skillset in machine learning to guide and mentor other members of the team.

• Develop machine learning models that deliver commercial value for the Corporate Bank.

• Critique and suggest ways in which technical methodologies can be improved on projects within the team. Verify that outputs being produced by the team are technically sound and accurate.

• Build relationships with senior stakeholders across the bank to seek out opportunities to add value through Data Science.

• Work closely with our equivalent ML Ops team in technology to streamline the path to production for successful projects.

Essential Skills and Qualifications

• Extensive experience in delivering Data Science projects in a commercial context.

• Expert in machine learning techniques (e.g., clustering, classification, regression, NLP)

• Ability to write production standard code in Python with a strong grasp of coding principles

• Ability to articulate technical findings in business terms and demonstrate value to stakeholders.

• Familiarity with AWS data science services, including SageMaker.

• Experience working with big data environments, particularly using PySpark.

• Proficiency in data visualization software, ideally Tableau, with exposure to QlikView, PowerBI, or similar tools.

You may be assessed on 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.

This role can be based from Glasgow or London.

Purpose of the role

To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification.
• Execution of data cleansing and transformation tasks to prepare data for analysis.
• Designing and building data pipelines to automate data movement and processing.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.
• Documentation of data quality findings and recommendations for improvement.

Vice President Expectations

• 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 elevate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of 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..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi‑year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long‑term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross‑functional areas of impact and alignment.
• Manage and mitigate risks through assessment, 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 comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In‑depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem‑solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.