Data Scientist – Digital Analytics & Dashboards (Hybrid)

Data Scientist – Digital Analytics & Dashboards (Hybrid)

Full-Time 52400 - 52400 Β£ / year (est.) No working from home possible
SCOTTISHPOWER ENERGY RETAIL LIMITED

At a Glance

  • Tasks: Generate actionable insights and support decision-making with data analytics.
  • Company: Join ScottishPower Energy Retail, a leader in the energy sector.
  • Benefits: Competitive salary from Β£52,400, hybrid work, and excellent perks.
  • Other info: Permanent role with great opportunities for career growth.
  • Why this job: Make a real impact by working with digital product teams on exciting projects.
  • Qualifications: Advanced SQL skills and experience with large datasets required.

The predicted salary is between 52400 - 52400 Β£ per year.

SCOTTISHPOWER ENERGY RETAIL LIMITED is looking for a Data Scientist based at their Glasgow HQ. The role involves working closely with digital product teams to generate actionable insights and support evidence-based decision-making.

The ideal candidate will have:

  • Advanced SQL skills
  • Experience with large datasets
  • A strong understanding of data analytics

This permanent hybrid role offers a competitive salary starting from Β£52,400 and various excellent benefits.

Data Scientist – Digital Analytics & Dashboards (Hybrid) employer: SCOTTISHPOWER ENERGY RETAIL LIMITED

At ScottishPower Energy Retail Limited, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Data Scientist in our Glasgow HQ, you will benefit from a competitive salary, comprehensive benefits package, and ample opportunities for professional growth within a leading energy provider committed to sustainability and digital transformation.

SCOTTISHPOWER ENERGY RETAIL LIMITED

Contact Details:

SCOTTISHPOWER ENERGY RETAIL LIMITED Recruitment Team

We think you need these skills to ace Data Scientist – Digital Analytics & Dashboards (Hybrid)

Advanced SQL
Data Analytics
Experience with Large Datasets
Actionable Insights Generation
Evidence-Based Decision-Making
Collaboration with Digital Product Teams