StepChange is a venture-backed climate-tech company that offers enterprise clients a comprehensive suite of ESG management solutions - ranging from compliance and reporting to climate risk assessment and strategic target-setting.
The StepChange platform provides a one-stop-shop cloud-based ESG solution that empowers enterprises to measure, evaluate, report, benchmark and improve their ESG performance, with a particular focus on climate. These technology solutions are complemented by a world-class team of domain experts and climate scientists, with a proven track record of deploying sustainability solutions.
Overall Function:
You will be responsible for supporting the Chief Science Officer (CSO) in leveraging state-of-the-science models to develop climate / ESG assessment modules and decision-making tools. You will be tasked with performing independent research to answer the qualitative and quantitative questions that are necessary to build accurate and useful modeling tools for our platform. The role will involve a substantial amount of data aggregation, processing, and analysis. Experienced candidates will be tasked with more sophisticated modeling assignments. You will be part of a quickly growing team that values independent thought and innovation. This role is an opportunity to deploy your research and data skills in a novel, impactful, and intellectually stimulating manner.
Responsibilities:
Design, develop, and implement standalone scripts and engineered systems to sanitize, structure, analyze, and present diverse data.
Support the development of the sustainability models that drive our platform.
Contribute to research and develop data pipelines.
Apply a knowledge of mathematics, statistics, scientific programming, machine learning, data modeling, software development, and sector-specific knowledge to develop science-based tools that provide clients with key insights
Evaluate different models, algorithms, and methodologies for data extraction and manipulation.
Requirements:
Scientific scripting (Python, R, etc.), data mining, data engineering, and data visualisation skills.
Strong understanding of applied statistics and common data science methods.
Experience with machine learning and advanced regression techniques is preferred.
Previous experience building out data-science pipelines and completing complex data-heavy projects that involve large datasets of diverse data.
Bachelor's or Master's in scientific or engineering discipline is preferred.
Benefits:
Exciting, enriching, and challenging work environment.
Ability to work directly with founding team members to shape the company.
Friendly and conducive working atmosphere.
Opportunity to participate in the zero-to-one journey of building a startup.
Competitive salary and comprehensive medical insurance coverage.
Significant upside through an employee-friendly ESOP policy.
Generous PTO / sick leave.
Annual company retreat.
Bring your pet to work.
