Barclays
Data Science Manager

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Job Description
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.
Accountabilities
- 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.
Vice President Expectations
- 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, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes.
- 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, 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
- If a subject matter expert within own discipline, guide technical direction.
- 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.
- 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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Graduate Consultant — 2026 Scheme
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Role Description
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.


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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.
Highly Valued Skills
- 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.
Assessment Criteria
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.
Location
This role will be based in Glasgow or Edinburgh.
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