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Assistant Manager, Digital Experience and Data Science

Lloyds Banking Group

Halifax, England, United KingdomOn Site

Original Job Summary

About the Role

The Assistant Manager, Digital Experience and Data Science at Lloyds Banking Group will drive data-led development in colleague communications. The role involves evolving data processes, developing insights dashboards, and implementing AI solutions to enhance business operations.

Key Responsibilities

  • Digital: Evolve data processes using Power BI and agentic BI, support workflow streamlining with Microsoft tools, and shape the data narrative for channels transformation.
  • Data Analysis: Analyze complex data sets, identify trends, run A/B testing, and benchmark internal data.
  • Data Communication: Present actionable insights and recommendations through prepared reports.

Skills & Experience

A relevant degree or proven experience in a data science role, strong analytical and problem solving skills, excellent communication, and organisational skills are essential.

Working Environment & Benefits

This full-time role is hybrid, requiring at least two days per week in the office, with locations in Edinburgh, Bristol, Birmingham, Leeds, and Halifax. Additional benefits include a generous pension, performance bonus, share schemes, flexible benefits, 28 days holiday plus bank holidays, wellbeing initiatives, and robust support for diversity and inclusion.

Key skills/competency

Power BI, AI, data science, analytics, communication, Microsoft, reporting, insights, A/B testing, stakeholder management.

How to Get Hired at Lloyds Banking Group

🎯 Tips for Getting Hired

  • Research Lloyds Banking Group: Understand their mission, culture, and news updates.
  • Tailor your resume: Highlight data and AI project experience.
  • Showcase analytics skills: Include examples using Power BI and data analysis.
  • Prepare for interviews: Practice explaining data-driven decisions.

📝 Interview Preparation Advice

Technical Preparation

Practice Power BI dashboard creation.
Review data science techniques and A/B testing.
Work on basic AI solution implementation.
Brush up on Microsoft tool integration.

Behavioral Questions

Describe a data-driven decision process.
Explain handling project challenges.
Share experience with stakeholder communication.
Discuss teamwork in transforming communications.