About the role
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 (eventually) 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.