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 work on projects that lead to direct improvements in the granularity and fidelity of our ESG / climate models. You will apply statistical models, design and interpret data experiments, build mission-critical dashboards, and help structure and order our data in the pursuit of best-in-class performance. The role will involve data aggregation, assimilation and exploratory analysis - identifying and visualizing trends, building validated models and improving our platform's performance.
Responsibilities:
Design, develop, and implement standalone scripts and engineered systems to sanitize, structure, analyze, and present diverse data.
Work on the development of key data / sustainability models that drive our platform.
Develop / maintain key data pipelines.
Apply a knowledge of mathematics, statistics, scientific programming, machine learning, data modeling and software development to develop science-based tools that provide clients with key insights
Evaluate different models, algorithms, and methodologies for data extraction and manipulation.
Requirements:
3+ years experience in a data-science role
Advanced 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.
Master's in scientific or engineering discipline preferred.
Experience with Climate / ESG-related data highly 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.
