Data Analyst - Python/ML for Credit Risk & Insights

Octopus Energy Group; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading renewable energy firm in Greater London is seeking a skilled individual to join their credit risk team. The role emphasizes strong data analytics and communication skills to support customers facing payment struggles. Candidates should have excellent SQL and Python skills, alongside a basic understanding of machine learning. A flexible approach to salary and a commitment to an inclusive work environment are core to this company culture.

Benefits

Flexible salary discussions

Unique company culture

Employee benefits hub

Qualifications

• 2+ years of experience in a hands-on role.
• Understanding of machine learning and statistics.
• Familiarity with Python data science stack (pandas, sklearn, numpy, etc).

Responsibilities

• Manage customers who are struggling with payments.
• Conduct data investigations for insights.
• Develop empathic approaches for vulnerable customers.
• Create strategies to prevent fraud.
• Communicate complex data concepts effectively.

Skills

SQL skills

Python skills

Data problem solving

Machine learning basics

Tools

Tableau

Looker

PowerBI

git

Job description

A leading renewable energy firm in Greater London is seeking a skilled individual to join their credit risk team. The role emphasizes strong data analytics and communication skills to support customers facing payment struggles. Candidates should have excellent SQL and Python skills, alongside a basic understanding of machine learning. A flexible approach to salary and a commitment to an inclusive work environment are core to this company culture.