Case Study: Scottish Power achieves faster, flexible upskilling in Python and machine learning with DataCamp

A DataCamp Case Study

Preview of the Scotish Power Case Study

How Scotish Power trains data scientists with DataCamp

Scottish Power, a UK energy retailer competing alongside 80 rivals, relied on its data science team to deliver insights across churn, lead generation and attribution that differentiate the business. With a diverse team recruited from backgrounds like astronomy and quantum physics, Scottish Power needed to quickly upskill new hires and establish a consistent baseline of technical skills—especially moving staff from SQL, SAS and R into Python and cloud workflows—so they turned to DataCamp’s corporate learning platform.

DataCamp provided flexible, self‑paced Python, machine learning and deep learning courses plus hands‑on projects that team members can complete during downtime, allowing focused skill transfer and reinforcement. As a result, Scottish Power reports improved productivity, stronger baseline capabilities in ML and neural networks, and team members saying they can now carry out many tasks effectively; the company is expanding DataCamp usage and planning custom tracks for data engineering.


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Scotish Power

Duncan Bain

Senior Data Scientist


DataCamp

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