Responsibilities
- Lead modelling workstreams within complex projects relating to industrial decarbonisation
- Liaise with Systemiq’s platforms on energy (and secondarily on materials, finance, and nature) to design and build new tools
- Work with Systemiq’s partners and wider sustainability analytics community to stay up to date with the latest methods to bring to projects
Requirements
- Strong quantitative background, owning a master’s degree or higher in mathematics, physics, engineering, computer science or equivalent area
- Programming experience in Python, as well as in testing, version control, continuous integration
- At least 2 years of relevant work experience
- Experience with energy systems modelling and existing energy systems modelling frameworks such as PyPSA
- Experience with linear optimization and working with solvers such as Gurobi, CPLEX, or HiGHS
Nice to Have
- Experience with GIS modeling and visualizations
- Experience with front-end development to share and communicate findings
- Experience in delivering web applications (HTML/CCS, Django/JS/HTMX)
- Experience with cloud providers (e.g. AWS, Azure, GCP) and containerization (e.g. Docker, Kubernetes)
- Experience with relational and non-relational databases (e.g. PostgreSQL, MongoDB, Elasticsearch etc)
Work Arrangement
On-site — London, Amsterdam
Team
Team size: 8. Structure: ANALYTIQ team (dedicated analytics unit)
Additional Information
- Contractor role
- Day rate or Fixed tbc
- 6 months (and high probability to extend)