Data Scientist

The role

You will become part of Tomorro's early team, enabling our customers to achieve their GHG emissions objectives with data-driven insights. You have the skills to gather, transform, and analyse data from a variety of sources and with a variety of structures. You'll be able to apply validation and testing techniques to ensure that analytical results are accurate and trustworthy for decision-makers.

Key responsibilities:

• Enriching raw data to enable analytical insights internally and for customers
• Sourcing and evaluating third-party data and analytics and developing integration requirements
• Performing ad-hoc analysis to address customer needs and inform Tomorro's strategy and priorities
• Developing, validating, and deploying Machine Learning capabilities, both internal and customer-facing
• Evaluating methodological documentation for environmental emissions factors to determine if they are suitable for a use case
• Collaborating on the design of data models, technical architecture, data flows, schemas, and API contracts
• Developing tools to ensure integrity of internal and customer data in the platform or streamline the customer's data integration experience
• Tracking your work through the software development lifecycle in JIRA, pushing well-documented pull requests for features, and collaborating through review and comments on fellow developer pull requests

About Tomorro

Our mission is to unlock a new concept of value for companies by monetising their real ESG impact. We believe it all starts with transparency and making the invisible visible through data. The second step is actions, for companies to make informed decisions when taking action to drive real-world impact, including achieving their net-zero targets. The last step is value, achieving a new normal where real-world impact is rewarded or penalised on the capital, commercial, or talent markets.

To do so, our objective is to transform climate, social, and governance programmes for companies, from being a side-lined tick-box exercise into an asset, enabling businesses to use the ownership of their ESG position to win deals, lower their costs of capital, and attract and retain talents.