Junior Python Engineer - Scoring Automation

About CDP:

CDP is a global non-profit that runs the world’s only independent environmental disclosure system. As the founder of environmental reporting, we believe in transparency and the power of data to drive change. Partnering with leaders in enterprise, capital, policy and science, we surface the information needed to enable Earth-positive decisions. We helped more than 24,800 companies and almost 1,000 cities, states and regions disclose their environmental impacts in 2024. Financial institutions with more than a quarter of the world’s institutional assets use CDP data to help inform investment and lending decisions. Our team is truly global, united by our shared desire to build a world where people, planet and profit are balanced.

About the Team:

The Scoring Team carries out the scoring of thousands of companies, cities, states, and regions on their environmental disclosures to CDP each year. Through scoring, we seek to incentivize measurement and management of environmental impact, the goal to drive positive changes and drive the world to environmental transition and a sustainable economy that works for all. The Scoring Automation team is a small technical team within CDP’s wider Scoring Team. We help deliver CDP’s annual scores by developing, running and maintaining Python-based tools, automation processes and data workflows.

About this role:

This is an early-career technical role suited to a recent graduate or someone with early professional experience in Python. You will help automate scoring logic using Python and CDP’s rule-based scoring engine, support quality assurance, improve internal tools, and collaborate with colleagues across Scoring, Methodology, Product and Engineering.

What you will do:

• Support the annual delivery of CDP scores by developing, running and maintaining Python-based scoring automation processes.
• Build and improve internal tools that streamline scoring, data processing and quality assurance workflows.
• Work with structured and semi-structured data, including Excel files, database outputs and JSON/YAML-style data.
• Translate scoring requirements, methodology rules and business logic into clear automated processes using Python and CDP’s rule-based scoring engine.
• Collaborate with colleagues across Scoring, Methodology, Product and Engineering, including technical and engineering squads across CDP.
• Support exploratory analysis and technical investigations that identify opportunities to improve scoring processes.
• Work flexibly across the annual scoring cycle, supporting fast-moving delivery periods as well as quieter periods focused on improvement, analysis and future development.

We’re looking for:

• Passion for the environment and the aims of CDP.
• Experience with Python programming.
• Experience using SQL to query, join or analyse data.
• Basic experience using Git or other version control tools.
• Experience working with data in Python, preferably using Pandas.
• A STEM background, or equivalent experience, with an interest in problem-solving, data analysis or programming.
• A logical and analytical mindset, with the ability to break complex problems into clear steps.
• Basic understanding of software development principles, such as writing reusable code, debugging, testing and clear documentation.
• Good attention to detail and a careful approach to checking outputs.
• Ability to communicate technical ideas clearly to both technical and non-technical colleagues.
• Flexibility and a practical mindset when priorities shift or delivery timelines change.

It would be helpful, but not essential, if you have experience in:

• Azure DevOps or GitHub.
• Unit testing in Python, for example with Pytest.
• Docker or basic command-line tools.
• Cloud environments, especially Azure.
• JSON data structures.
• Agile ways of working.

This is a hybrid role requiring weekly time in the office, candidates will need to live within a commutable distance of the London office and be comfortable with 2 days in the office per week.