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For Companies At a Glance
- Tasks: Join our team to analyse data and help customers meet their GHG emissions goals.
- Company: Tomorro is revolutionising ESG impact by turning data into actionable insights for businesses.
- Benefits: Enjoy flexible work options, a collaborative culture, and the chance to make a real difference.
- Why this job: Be part of a mission-driven company that values transparency and drives meaningful change.
- Qualifications: Skills in data analysis, machine learning, and a passion for sustainability are essential.
- Other info: Work with cutting-edge technology and contribute to innovative solutions in the climate space.
The predicted salary is between 28800 - 48000 £ per year.
The role
You will become part of Tomorro\’s early team to enable our customers in achieving their GHG emissions objectives with data-driven insights. You have the skills to gather, transform, and analyze data from various sources and 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:
- Enrich 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 suitability for use cases
- Collaborating on the design of data models, technical architecture, data flows, schemas, and API contracts
- Developing tools to ensure data integrity and streamline data integration for internal and customer platforms
- Tracking work through the software development lifecycle in JIRA, submitting well-documented pull requests, and collaborating through reviews
About Tomorro
Our mission is to unlock a new concept of value for companies by monetizing their real ESG impact. We believe it all starts with transparency and making the invisible visible through data. The second step is taking action, enabling companies to make informed decisions to drive real-world impact, including achieving their net-zero targets. The last step is creating value, where real-world impact is rewarded or penalized in capital, commercial, or talent markets.
To achieve this, our objective is to transform climate, social, and governance programs from being a sidelined tick-box exercise into strategic assets. This enables businesses to leverage their ESG position to win deals, lower capital costs, and attract and retain talent.
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Data Scientist employer: Tomorro
Contact Detail:
Tomorro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, especially in the context of environmental, social, and governance (ESG) metrics. Understanding how data can drive GHG emissions objectives will give you an edge in discussions during interviews.
✨Tip Number 2
Showcase your experience with machine learning and data integration tools. Be prepared to discuss specific projects where you've developed or deployed machine learning capabilities, as this is a key responsibility in the role.
✨Tip Number 3
Network with professionals in the ESG and data science fields. Attend relevant webinars or local meetups to connect with others who share your interests, as personal connections can often lead to job opportunities.
✨Tip Number 4
Prepare to discuss how you ensure data integrity and accuracy in your analyses. Being able to articulate your validation and testing techniques will demonstrate your commitment to delivering trustworthy insights.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities of a Data Scientist at Tomorro. Familiarise yourself with their mission and how your skills can contribute to achieving their GHG emissions objectives.
Tailor Your CV: Customise your CV to highlight relevant experience in data gathering, transformation, and analysis. Emphasise any experience you have with Machine Learning, data integrity, and collaboration on technical architecture.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and sustainability. Explain how your background aligns with Tomorro's mission and how you can help them transform ESG programs into strategic assets.
Showcase Technical Skills: In your application, be sure to mention specific tools and technologies you are proficient in, especially those related to data analysis, validation techniques, and software development lifecycle management, such as JIRA.
How to prepare for a job interview at Tomorro
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Scientist at Tomorro. Familiarise yourself with GHG emissions objectives and how data-driven insights can help achieve them. This will show your genuine interest in the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data gathering, transformation, and analysis. Highlight any specific tools or programming languages you’ve used, especially in relation to Machine Learning and data integrity.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical thinking and problem-solving abilities. Be ready to provide examples of past projects where you performed ad-hoc analysis or developed data models, and explain your thought process.
✨Demonstrate Collaboration Skills
Since the role involves collaboration on technical architecture and data flows, be prepared to discuss your experience working in teams. Share examples of how you’ve successfully collaborated with others, particularly in software development environments.
