Data Science Manager - Barclays

Date live: 27/07/2026

Business Area: Decision Intelligence

Area of Expertise: Data & Analytics

Contract: Permanent

Reference Code: JR-0000121908

Join Tesco Bank as a Data Science Manager, where you will be responsible for leading and developing a team of data scientists, creating an environment where colleagues can thrive and deliver outstanding business outcomes. You will play a key role in building capability across the Data Science function, ensuring teams have the skills, tools and support needed to deliver high-quality analytics and AI (Artificial Intelligence) solutions that drive value for our customers and colleagues. This is a people leadership role with responsibility for coaching, performance management, talent development and organisational effectiveness. You will work closely with technical leaders, product owners and business stakeholders to ensure that Data Science resources are aligned to strategic priorities while fostering a culture of collaboration, continuous improvement and innovation.

To be successful as a Data Science Manager, you must have the following essential skills:

• People Leadership & Team Development – Proven experience leading, coaching and developing technical teams, with a focus on performance management, engagement and career growth.
• Capability Building – Experience developing data science capability through mentoring, skills development, succession planning and workforce planning.
• Stakeholder Management – Ability to build solid relationships across business and technology teams, influencing decisions and aligning priorities to business outcomes.
• Delivery Leadership – Experience supporting the successful delivery of data science and analytics projects through effective planning, prioritisation and resource management.
• Organisational Effectiveness – Demonstrated ability to create high-performing teams, drive continuous improvement and foster an inclusive, collaborative culture.

Some other highly valued skills may include:

• Data Science & AI Knowledge – A solid understanding of the data science lifecycle, machine learning techniques and AI technologies, with the ability to effectively support and challenge technical teams.
• Strategic Workforce Planning – Experience balancing short-term delivery demands with long-term capability needs.
• Change & Transformation – Proven ability to lead teams through periods of organisational, technological or process change.
• Talent Management & Recruitment – Experience attracting, hiring and retaining high-performing technical talent.
• Agile Delivery & Product Operating Models – Understanding of agile delivery practices and experience working within product or squad-based structures.
• Risk & Governance – Experience ensuring appropriate controls, governance and regulatory requirements are embedded within team activities.