At a Glance
- Tasks: Create analytical models using geospatial data to drive impactful sustainability projects.
- Company: Join Systemiq, a certified B Corp focused on system change and sustainability.
- Benefits: Competitive day rate, flexible working environment, and opportunities for professional growth.
- Other info: Dynamic international team with a strong focus on diversity and inclusion.
- Why this job: Make a real difference in the world by tackling complex sustainability challenges.
- Qualifications: Master’s degree or equivalent in relevant fields; experience with GIS and Python preferred.
The predicted salary is between 63000 - 77000 £ per year.
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 modelling, to GIS modelling, 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 driving system-changing impact through our GIS analytics which have provided the foundational insights for programmes such as Partnership for Forests, Regeneration, and SPACES to name a few. We are looking to expand our expertise in this area to embed GIS capabilities into our projects and platforms.
Position: We're seeking a talented Geospatial Data Scientist to join our ANALYTIQ team. In this role, you'll work across all our platform areas, leveraging your skills to create first-rate analytical models that address a myriad of topics. As part of your journey, you'll cultivate expertise in areas like strategy advisory, sustainable finance, coalition building, and venture capital. 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, Amsterdam or Munich.
- Work across SYSTEMIQ's platform teams (energy, materials, nature, finance) on live projects, bring geospatial analytics and expertise to support project delivery, and designing and building reusable models and interactive tools that deliver user insights.
- Contribute to Analytiq's internal tooling stack: reusable scripts, data pipelines, and applications that let SYSTEMIQ project teams work faster and scale their impact.
- Bringing the latest geospatial, data science, and AI-assisted development methods across the sustainability analytics community, and bring new techniques into live projects.
Skills / Experience:
- Strong quantitative/analytical background, owning a master’s degree or higher in computer science, earth science, geography, engineering, environmental management, maths, physics or equivalent area.
- Recent graduate or up to 2 years of work experience.
- A strong track record of working with geospatial data, including hands-on use of GIS software (QGIS, ArcGIS) and geospatial Python libraries such as GeoPandas, Rasterio, and GDAL, plus experience handling raster and vector datasets at scale.
- Familiarity with Python programming.
- Understanding of open source and proprietary data sets.
- A keen willingness to learn a broader set of skills to deliver impact.
- Comfort using AI tools to accelerate the design and build of scripts, dashboards, or lightweight web applications - including prompting these tools effectively rather than only writing code by hand.
Beneficial additional skills:
- Knowledge of nature/carbon accounting methodologies, climate risk analysis and scenario modelling.
- Domain expertise on environmental science, climate models, and Integrated Assessment Models (IAMs), land-use or food-systems modelling, or extreme-weather/precipitation trend analysis.
- Experience and interest in building and deploying web-based tools - both front- and back-end experience is a plus.
- Database management skills and experience.
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.
Geospatial Data Scientist in London employer: Systemiq
At Systemiq, we pride ourselves on being an excellent employer committed to sustainability and innovation. Our collaborative work culture fosters creativity and inclusivity, providing employees with ample opportunities for professional growth and development in the heart of London. Join us to make a meaningful impact on food systems and biodiversity while enjoying the benefits of a supportive team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Geospatial Data Scientist in London
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We think you need these skills to ace Geospatial Data Scientist in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Systemiq, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Systemiq, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Systemiq’s attention and show the tangible impact of your work.
How to prepare for a job interview at Systemiq
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Systemiq.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Systemiq.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Systemiq.
