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Workday

Data Science Manager

Workday

Data Science Manager at Tesco Bank responsible for leading a team and using data analytics to drive strategic decisions. Collaborating with stakeholders to enhance data science capabilities and operational efficiency.

Posted 7/27/2026full-timeEdinburgh • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and machine learning techniques to derive insights and drive value. Proven ability to lead and develop technical teams while fostering collaboration between business and technology stakeholders.

Highest-signal resume keywords
Data AnalyticsMachine Learning TechniquesData Pipeline DevelopmentTeam LeadershipStakeholder Collaboration

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ScienceStatistical ModelingMachine Learning ModelsData ProcessingData Acquisition
Soft Skills
CoachingMentoringRelationship BuildingTeam DevelopmentCollaboration
Industry Keywords
Data Science ProjectsAnalytics ProjectsWorkforce PlanningSkills DevelopmentSuccession Planning

About the role

Key responsibilities & impact
  • Use innovative data analytics and machine learning techniques to extract valuable insights
  • Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
  • Development and maintenance of efficient data pipelines for automated data acquisition and processing
  • Design and conduct statistical and machine learning models

Requirements

What you’ll need
  • Proven experience leading, coaching and developing technical teams
  • Experience developing data science capability through mentoring, skills development, succession planning and workforce planning
  • Ability to build solid relationships across business and technology teams
  • Experience supporting the successful delivery of data science and analytics projects
  • Demonstrated ability to create high-performing teams

Benefits

Comp & perks
  • Professional development opportunities
  • Flexible working hours
  • Health insurance
  • Retirement plans