Data Scientist

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.