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- Tasks: Build software to optimise energy usage and combat climate change using Python and machine learning.
- Company: A growing tech firm focused on innovative climate solutions.
- Benefits: Full-time role with a commitment to impactful work and diverse team culture.
- Why this job: Make a real difference in the fight against climate change while developing your skills.
- Qualifications: Experience in data science, Python, and machine learning is essential.
- Other info: Work 2-3 days a week in the London office for effective collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A growing technology firm in climate solutions is hiring a Data Scientist in London. You will build software to optimize energy usage and combat climate change, using Python and machine learning. This full-time role requires a commitment to impactful work. The company values innovation and diversity, encouraging candidates from all backgrounds to apply. You will spend 2-3 days a week in the London office for effective collaboration.
Data Scientist – Climate Energy Platforms in City of London employer: Axle Energy
Contact Detail:
Axle Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Climate Energy Platforms in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the climate tech space on LinkedIn or at local meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and machine learning. We love seeing real-world applications of your work, especially if they relate to energy optimisation.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common data science problems and being ready to discuss how you can contribute to combating climate change.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re all about innovation and diversity, so we want to hear from everyone!
We think you need these skills to ace Data Scientist – Climate Energy Platforms in City of London
Some tips for your application 🫡
Show Your Passion for Climate Solutions: When writing your application, let us know why you're passionate about climate solutions. Share any relevant projects or experiences that highlight your commitment to making a difference in this field.
Highlight Your Technical Skills: Make sure to showcase your expertise in Python and machine learning. We want to see how you've used these skills in past projects, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to align with our job description. Mention specific aspects of the role that excite you and how your background fits into our mission at StudySmarter.
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 this exciting opportunity!
How to prepare for a job interview at Axle Energy
✨Know Your Tech
Brush up on your Python and machine learning skills before the interview. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Understand Climate Solutions
Familiarise yourself with current trends in climate technology and energy optimisation. Showing that you’re passionate about combating climate change will resonate well with the company’s mission and values.
✨Prepare for Collaboration Questions
Since this role involves working in a team, think of examples that showcase your ability to collaborate effectively. Be ready to discuss how you’ve worked with diverse teams in the past and how you value different perspectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future goals. This not only shows your interest but also helps you gauge if the company aligns with your values and career aspirations.
