At a Glance
- Tasks: Join our team to develop a climate tech platform using data science and innovative tools.
- Company: Dynamic company focused on climate technology and sustainability.
- Benefits: Flexible working hours, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Make a real impact on climate change while honing your data science skills.
- Qualifications: Experience in Python and cloud environments; strong analytical skills required.
The predicted salary is between 50000 - 70000 £ per year.
We are seeking a committed and passionate Data Scientist to work with us on our climate technology platform! The successful candidate will sit in the Product team and build out a comprehensive information-scraping and analysis tool to measure business disruption and develop this into a distinguished product feature.
The successful candidate will be working across a technology stack that includes Python, PostgreSQL/PostGIS as well as dabbling in technologies offered by Amazon Web Services (AWS) infrastructure. This is an incredibly trailblazing and rewarding position.
The impact you’ll own:
- Ability to utilise Natural Language Processing, Regular Expressions, and similar techniques to extract physical asset addresses from company websites and assign such locations/assets to relevant type and industry categories.
- Undertake initial research for and rapidly prototype a Proof of Concept (PoC) for the financial impacts of business disruption associated with physical asset addresses.
- Create a geocoding module with Mapbox/Google Places/alternative APIs to source information that is not readily available, conducting basic spatial analytics on results.
- Working with Engineers in the Climate X Engineering team to deliver a visualised / User Interface version of the Business Disruption module, integrated into the Climate X risk analytics platform Spectra.
- Conduct continuous documentation of both the technical solution and user guides for the Spectra Business Disruption module - and be ready to take ownership of the solution when presenting to (prospective) clients.
What you bring:
- Relevant Agile environment experience in one or more of the following: software engineering, infrastructure, automation.
- Demonstratable capabilities in Python.
- Proven expertise working on Public Cloud-based environments (AWS, GCP, Azure) or HPC.
- Excellent analytical and quantitative skills, with a strong knowledge of data modelling and data analysis.
- Capacity for independent and creative thinking / writing on research and statistical problems.
- Ability to work with data from multiple sources, and experience working with large data sets.
- A strong eye for process improvement and a proven record of accomplishment in automation.
- Ability to understand complex systems quickly and to improve processes proactively.
- Capability for handling multiple stakeholders, have excellent multitasking skills, and be able to prioritise competing workloads.
What makes you stand out:
- Understanding application profiling and observability tools including Prometheus/Grafana and large-scale distributed systems would also be beneficial.
- Knowledge of networking and web protocols would be a plus.
- Comfortable participating in language, framework, and platform selection processes, with respect to data tools and software.
- Ability to exercise excellent time management and meet multiple deadlines.
- Demonstrated excellence in project management and organization.
- High level of critical thinking and analytical skills.
Data Scientist employer: Climate X
Join us as a Data Scientist and be part of a pioneering team dedicated to climate technology! Our collaborative work culture fosters innovation and creativity, providing you with ample opportunities for professional growth while making a meaningful impact on environmental sustainability. Located in a vibrant area, we offer competitive benefits and a supportive environment that values your contributions and encourages continuous learning.
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 with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in climate technology. Be ready to discuss how you can contribute to our mission at StudySmarter and make an impact.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your expertise in Python, AWS, and any relevant projects you've worked on that showcase your analytical skills.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about climate technology and how your background makes you a great fit for our team. Be sure to mention specific tools or techniques you’ve used that relate to the job description.
Showcase Your Projects:If you've worked on any relevant projects, especially those involving data analysis or geocoding, make sure to include them. We love seeing practical examples of your work and how you approach problem-solving.
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 from our team!
How to prepare for a job interview at Climate X
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python and AWS. Brush up on your skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Analytical Skills
Prepare examples that highlight your analytical and quantitative skills. Think of specific instances where you’ve tackled complex data problems or improved processes, as this will resonate well with the interviewers.
✨Demonstrate Your Research Abilities
Since the role involves initial research and prototyping, come prepared with a mini case study or example of a project where you had to conduct research and develop a solution. This will show your proactive approach and creativity.
✨Engage with Stakeholders
Be ready to discuss how you’ve managed multiple stakeholders in previous roles. Share experiences where you successfully prioritised workloads and communicated effectively, as this is crucial for the collaborative environment you'll be working in.
