Energy Associate

Systemiq Ltd.; Greater London; Hybrid; GBP 65,000 - 110,000; Full time

Job summary

Systemiq Ltd. is seeking a talented Data Scientist to join ANALYTIQ, our analytics backbone, focusing on energy system modelling. You will build analytical models for energy transition—decarbonisation of power, hard-to-abate sectors, hydrogen, storage and cross-sector coupling—while contributing to other platforms.

You will collaborate with leading institutions, join an international team, and help deliver system-level impact through advanced modelling and data-driven insights.

Qualifications

• Strong analytical track record and impactful problem-solving skills.
• Entrepreneurial mindset and ability to work in a fast-changing environment.
• Passion for system change and alignment with Systemiq goals.

Responsibilities

• Lead modelling workstreams within complex projects relating to industrial decarbonisation
• Liaise with Systemiq's platforms on energy and other domains to design and build new tools
• Collaborate with partners and analytics community to apply latest methods to projects

Skills

Python

Testing

Version control

CI/CD

Analytical mindset

Education

Master's degree or higher in mathematics, physics, engineering, computer science or equivalent

Tools

PyPSA

Gurobi

CPLEX

HiGHS

GIS

Django/JS/HTMX

Docker

Kubernetes

PostgreSQL

MongoDB

Elasticsearch

AWS

Azure

GCP

Job description

Company Description:

Systemiq is the system change company, working to accelerate the transition to a net-zero, nature-positive and more inclusive economy. As a certified B Corp, we partner with business, finance, policymakers and civil society to transform five interconnected systems: energy, nature and food, materials and circularity, sustainable finance, and urban transformation.

We bring together strategy, policy, market design and capital mobilisation to deliver tangible results in the real economy. Founded in 2016, Systemiq has grown to a global team of more than 300 people across Brazil, France, Germany, Indonesia, Kenya, the Netherlands, the UK and the US, united by a singular focus on sustainability.

Contractor role- day rate or Fixed tbc- 6 months ( and high probability to extend)

ANALYTIQ – the SYSTEMIQ analytics backbone

World-class analytics is not sufficient to drive true system-level change, but it is a necessary ingredient. That's why Systemiq has Analytiq, a dedicated core unit designed to apply top-tier analytics to address the most complex system challenges.

Analytiq harnesses a diverse array of analytical methodologies, from system optimization techniques like power and material flow modeling, to GIS modeling, as well as digital app development, which ranges from creating simple dashboards to designing tailor-made web applications. We employ these techniques to accelerate transitions across all SYSTEMIQ impact platforms, including energy, materials, sustainable finance, nature, and cities.

We have a long track-record of making system-changing impact with our analytics, as seen in Steel-IQ, Mission Possible Partnership, Breaking the Plastic Wave, and many others. We are now looking to expand our 8 people ANALYTIQ team and increase our impact.

Position

We're seeking a talented Data Scientist to join our ANALYTIQ team, with a particular focus on energy system modelling. In this role, you'll spend the majority of your time building analytical models that inform the energy transition, from power system decarbonisation and hard-to-abate industry pathways to hydrogen, storage, and cross-sector coupling, while also contributing to work across our other platform areas (materials, nature, and finance).

Your work will be highly strategic and involve collaboration with leading institutions in the field. This international role is aimed at delivering substantial, system-level impact on the world. You'll become part of a dynamic team of analytic experts who are dedicated to fostering system change through their work.

To thrive in this role, you'll need to showcase advanced problem-solving, analytical, and relationship-building skills that can drive breakthrough insights and actions, leading to impactful results.

Requirements

We're seeking individuals with a strong analytical track record, proven achievements, and impactful problem-solving skills. You've demonstrated your abilities in various contexts and have an interest in contributing to an entrepreneurial environment where your work can make a significant impact. You share Systemiq's passion for system change.

This role is available in our offices in London or Amsterdam

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

Skills / Experience:

Required

• 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

Beneficial Additional Skills

• 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)

Diversity & Inclusion

At Systemiq, we absolutely believe diverse perspectives are essential to driving system change. We are committed to creating an inclusive workplace where people feel respected, supported and able to do their best work.