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- Tasks: Transform and analyse data to help customers achieve their GHG emissions goals.
- Company: Join Tomorro, a forward-thinking company focused on real ESG impact.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving meaningful change in the world.
- Why this job: Make a real difference in sustainability while developing your data science skills.
- Qualifications: Experience in data analysis and machine learning techniques.
The predicted salary is between 30000 - 50000 £ per year.
The role involves becoming part of Tomorro's early team to enable our customers to achieve their GHG emissions objectives with data-driven insights. You will gather, transform, and analyse data from a variety of sources and structures. You will 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 suitability for use cases.
- Collaborating on the design of data models, technical architecture, data flows, schemas, and API contracts.
- Developing tools to ensure the integrity of internal and customer data in the platform or streamline the customer’s data integration experience.
- Tracking 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, enabling 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 in the capital, commercial, or talent markets. Our objective is to transform climate, social, and governance programmes for companies from being a sidelined tick-box exercise into an asset, enabling businesses to leverage their ESG position to win deals, lower their costs of capital, and attract and retain talent.
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
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, machine learning models, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission at Tomorro.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Tomorro. Highlight your experience with data gathering, transformation, and analysis, as well as any relevant machine learning projects you've worked on. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven insights and how you can help us achieve our GHG emissions objectives. Be genuine and let your personality come through – we love that!
Showcase Your Projects: If you've got any cool projects or case studies, don’t hesitate to include them in your application. Whether it's a personal project or something from your previous job, showing off your analytical skills and problem-solving abilities will definitely catch our eye.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the Tomorro team!
How to prepare for a job interview at Tomorro
✨Know Your Data Inside Out
Make sure you’re well-versed in data gathering, transformation, and analysis techniques. Brush up on your knowledge of various data structures and be ready to discuss how you've applied validation and testing methods in past projects.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've enriched raw data to derive insights. Think about times when your analysis directly influenced decision-making and be ready to explain the impact of your work.
✨Familiarise Yourself with Machine Learning
Since the role involves developing and deploying Machine Learning capabilities, be prepared to discuss your experience with ML models. Bring examples of projects where you’ve implemented these techniques and how they benefited the end-users.
✨Collaborate and Communicate
Tomorro values teamwork, so be ready to talk about your experience working in collaborative environments. Highlight your familiarity with tools like JIRA and your approach to code reviews, as well as how you ensure clear communication with your team.