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- Tasks: Design and implement predictive models for real-world climate impact.
- Company: A mission-driven climate tech startup focused on sustainability.
- Benefits: Opportunity to shape core models and make a measurable difference.
- Why this job: Join a passionate team and contribute to meaningful climate solutions.
- Qualifications: Experience in predictive modelling, Python proficiency, and a passion for sustainability.
- Other info: Fast-paced startup environment with opportunities for innovation.
The predicted salary is between 36000 - 60000 £ per year.
A positive impact climate tech startup is seeking an experienced contractor to design and implement predictive models that deliver real-world climate impact. The contractor will collaborate closely with product and data teams to transform complex datasets into actionable insights.
Key Requirements
- Proven experience in predictive and statistical modelling
- Proficiency in Python and relevant ML libraries
- Ability to work independently in a fast-paced startup environment
- Passion for climate and sustainability
What’s on Offer
- Mission-driven work with measurable environmental impact
- Opportunity to shape core predictive models from the ground up
Climate Modeller employer: Oho Group Ltd
Contact Detail:
Oho Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Climate Modeller
✨Tip Number 1
Network like a pro! Reach out to people in the climate tech space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and any relevant projects. This is your chance to demonstrate your expertise in Python and ML libraries, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of climate issues and sustainability. We want you to be able to discuss how your work can make a real-world impact, so do your homework!
✨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 proactive about their job search.
We think you need these skills to ace Climate Modeller
Some tips for your application 🫡
Show Your Passion: When writing your application, let your passion for climate and sustainability shine through. We want to see how your values align with our mission-driven work, so don’t hold back on sharing why this role excites you!
Highlight Relevant Experience: Make sure to showcase your experience in predictive and statistical modelling. We’re looking for someone who can hit the ground running, so include specific examples of your past work that demonstrate your skills in Python and ML libraries.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the job description. We appreciate when candidates take the effort to connect their experiences directly to what we’re looking for.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Oho Group Ltd
✨Know Your Models
Make sure you brush up on your predictive and statistical modelling skills. Be ready to discuss specific models you've worked on, the challenges you faced, and how you overcame them. This will show your expertise and passion for the field.
✨Showcase Your Python Skills
Since proficiency in Python and ML libraries is key, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Have examples ready that highlight your technical abilities.
✨Understand the Climate Tech Landscape
Familiarise yourself with current trends and challenges in climate tech. Being able to discuss how your work can contribute to sustainability will resonate well with the interviewers and show your genuine interest in making a positive impact.
✨Emphasise Collaboration
As you'll be working closely with product and data teams, highlight your experience in collaborative environments. Share examples of how you've successfully worked with others to transform complex datasets into actionable insights, showcasing your teamwork skills.
