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- Tasks: Contribute to cloud sustainability models through coding and team collaboration.
- Company: Climate-Tech Company in London focused on sustainability.
- Benefits: Competitive salary and flexible hybrid working conditions.
- Why this job: Make a real impact on climate change while developing your data skills.
- Qualifications: 3+ years of experience in data science or engineering with strong Python skills.
- Other info: Join a passionate team dedicated to innovative climate solutions.
The predicted salary is between 28800 - 48000 £ per year.
A Climate-Tech Company based in London is seeking a Data Scientist or Data Engineer with over 3 years of experience to contribute to their cloud sustainability models. The ideal candidate should possess strong Python development skills and a solid understanding of computer science and statistics fundamentals.
You will be involved in coding, integrating research, and collaborating with teams to enhance cloud sustainability. The position offers a competitive salary and flexible hybrid working conditions.
Hybrid Data Scientist for Cloud Emissions (London) employer: Greenpixie
Contact Detail:
Greenpixie Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist for Cloud Emissions (London)
✨Tip Number 1
Network like a pro! Reach out to people in the climate-tech space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to data science and sustainability. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss how your experience aligns with cloud sustainability models.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Hybrid Data Scientist for Cloud Emissions (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python development skills and any relevant experience in data science or engineering. We want to see how your background aligns with our cloud sustainability goals!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experience and what you can bring to the team.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Hybrid Data Scientist role. Show us why you’re the perfect fit for our Climate-Tech mission.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Greenpixie
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your previous projects and how you've used Python to solve complex problems, especially in relation to data science and cloud sustainability.
✨Understand Cloud Sustainability
Familiarise yourself with the latest trends and technologies in cloud sustainability. Be prepared to talk about how data science can contribute to reducing emissions and improving efficiency in cloud environments.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, think of examples where you've successfully collaborated on projects. Highlight your communication skills and how you integrate research into your work to enhance team outcomes.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current sustainability models and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
