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Data Analyst - Python/ML

Octopus Energy
London, United Kingdom
Full Time
Posted December 19, 2025
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Job Description

A Data Analyst role focused on leveraging Python and machine learning to support Octopus Energy's credit risk team, helping to analyze data related to customer energy usage and financial stability amidst sector volatility, and working closely with tech and operations teams to solve customer problems at scale.

Key Responsibilities

  • Perform data analysis to support credit risk assessments
  • Collaborate with the tech team to develop data-driven solutions for customer problems
  • Work with operations teams to understand customer needs and improve processes
  • Utilize Python and machine learning techniques to analyze energy sector data

Requirements

  • Proficiency in data analytics with strong skills in analyzing and interpreting large datasets.
  • Experience with Python programming language, specifically for data analysis and machine learning tasks.
  • Experience in developing and implementing machine learning models using Python.
  • Ability to work closely with technical teams to integrate data solutions and solve customer problems at scale.
  • Ability to collaborate effectively with operations teams who communicate directly with customers.
  • Strong understanding of credit risk analysis and the ability to apply data analytics to support credit risk assessments.
  • Educational background in a relevant field such as Data Science, Computer Science, Statistics, or a related discipline (implied but not explicitly specified).
  • Experience working in a fast-paced environment with high volatility, particularly within the energy sector or financial services, is preferred but not explicitly required.

Benefits & Perks

Flexible salary that is discussed on a call with recruiters
Autonomy in work environment
Recognition as a top UK company to work for and top ten in the Sunday Times Best Places to Work 2024
Opportunities for learning, decision-making, and building quickly
Work with a wide range of co-owners on innovative projects
Perks aligned with employee interests (specific perks not detailed)

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