At a Glance
- Tasks: Design and implement predictive models to drive climate impact.
- Company: Exciting climate tech startup focused on sustainability.
- Benefits: Flexible contract work with a mission-driven purpose.
- Why this job: Make a real difference in the fight against climate change.
- Qualifications: Expertise in predictive modelling, Python, and a passion for sustainability.
- Other info: Collaborate with innovative teams and contribute to meaningful projects.
The predicted salary is between 36000 - 60000 £ per year.
A climate tech startup is seeking an experienced contractor to design and implement predictive models that drive significant climate impact. The successful candidate will work closely with product and data teams to transform complex datasets into actionable insights.
Key qualifications include:
- Proven expertise in predictive and statistical modelling
- Proficiency in Python and ML libraries
- A passion for sustainability
This role offers a chance to contribute to mission-driven work focused on environmental impact.
Climate Predictive Modeller (Contractor) employer: Oho Group Ltd
Contact Detail:
Oho Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Climate Predictive Modeller (Contractor)
✨Tip Number 1
Network like a pro! Reach out to folks in the climate tech space on LinkedIn or at industry events. We can’t stress enough how personal connections can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and any relevant projects. We want to see your passion for sustainability shine through your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. We recommend practising common modelling scenarios and being ready to discuss your thought process. Remember, they want to see how you tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s make an impact together!
We think you need these skills to ace Climate Predictive Modeller (Contractor)
Some tips for your application 🫡
Show Your Passion for Sustainability: When writing your application, let us see your enthusiasm for sustainability shine through. Share any relevant experiences or projects that highlight your commitment to making a positive environmental impact.
Highlight Your Technical Skills: Make sure to clearly outline your expertise in predictive and statistical modelling, as well as your proficiency in Python and ML libraries. We want to know how your skills can help us transform complex datasets into actionable insights.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. Show us how your background aligns with the role of Climate Predictive Modeller and why you’re the perfect fit for our team.
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 don’t miss out on any important updates about the hiring process!
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 implemented in the past, including the challenges you faced and how you overcame them. This will show your expertise and problem-solving abilities.
✨Showcase Your Python Skills
Since proficiency in Python and ML libraries is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common algorithms and data manipulation techniques can really help.
✨Connect with Their Mission
This startup is all about sustainability, so make sure you express your passion for environmental impact during the interview. Share any relevant projects or experiences that highlight your commitment to climate issues. This will resonate well with the interviewers and show you're aligned with their mission.
✨Prepare for Data Discussions
Expect to dive deep into discussions about complex datasets. Be prepared to talk about how you've transformed raw data into actionable insights in previous roles. Having examples ready will demonstrate your ability to work closely with product and data teams effectively.