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For Companies At a Glance
- Tasks: Transform geospatial data into insights and build predictive models.
- Company: Join a leading recruitment agency with a focus on innovation.
- Benefits: Earn £750 per day, enjoy flexible work, and gain valuable experience.
- Why this job: Dive into the world of GIS and make a real impact with your skills.
- Qualifications: Experience with GIS platforms and proficiency in Python or R required.
- Other info: Work in a dynamic environment with opportunities for growth.
Location: London
Employment Type: 2 month contract
About the Role
We are looking for a GIS Data Scientist who can blend spatial analysis, advanced analytics, and problem-solving to turn geospatial data into actionable insights. You will work with large, complex datasets, build predictive models, and support data-driven decisions across the organisation. If you love maps, patterns, and answering real-world questions with data, this role has your name all over it.
Key Responsibilities
- Acquire, clean, and manage geospatial datasets from diverse sources (remote sensing, open data, internal systems, APIs).
- Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects.
- Develop predictive models and machine-learning workflows using spatial and non-spatial data.
- Build and maintain spatial databases, data pipelines, and automated ETL processes.
- Create high-quality maps, dashboards, and visualisations for both technical and non-technical stakeholders.
- Collaborate with cross-functional teams to define requirements and deliver geospatial insights.
- Implement QA/QC best practices to ensure accuracy, reproducibility, and data governance.
- Stay current with emerging geospatial technologies, standards, and research.
Skills & Experience
Essential
- Strong experience with GIS platforms (ArcGIS, QGIS) and geospatial libraries (e.g., GeoPandas, GDAL/OGR, Shapely, Rasterio).
- Proficiency in Python and/or R for data science and automation.
- Solid grounding in statistics, spatial analysis, and machine-learning methodologies.
- Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial).
- Ability to communicate complex spatial insights clearly to diverse audiences.
- Experience working with remote sensing and raster datasets.
Desirable
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data tools.
- Experience with geospatial APIs, web mapping, or dashboard tools (ArcGIS Online, Power BI, Mapbox).
- Knowledge of routing, network analysis, or spatial optimisation.
- Background in environmental science, transport, health, energy, urban planning.
What We Offer
£750 per day
2 month contract
1 day per week in the office
Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
GIS Data Scientist (SC Cleared) employer: Morgan Hunt UK Limited
Contact Detail:
Morgan Hunt UK Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GIS Data Scientist (SC Cleared)
✨Tip Number 1
Network like a pro! Reach out to your connections in the GIS field, attend meetups, and join online forums. The more people you know, the better your chances of hearing about opportunities that might not even be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with geospatial data, predictive models, and visualisations. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with GIS platforms and how you've tackled real-world challenges using data. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for talented GIS Data Scientists like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace GIS Data Scientist (SC Cleared)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with GIS platforms and programming languages like Python or R. We want to see how you can blend spatial analysis with data science, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to the responsibilities listed in the job description. This helps us see how you fit into our team and the work we do.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your past experiences and how they relate to the role. We appreciate clarity, especially when it comes to complex geospatial insights!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at Morgan Hunt UK Limited
✨Know Your GIS Tools Inside Out
Make sure you’re well-versed in the GIS platforms mentioned in the job description, like ArcGIS and QGIS. Brush up on your knowledge of geospatial libraries such as GeoPandas and GDAL/OGR, as you might be asked to demonstrate your proficiency during the interview.
✨Showcase Your Data Skills
Prepare to discuss your experience with Python or R, especially in relation to data science and automation. Be ready to share specific examples of predictive models or machine-learning workflows you've developed, as this will highlight your technical expertise.
✨Communicate Clearly
Since you'll need to convey complex spatial insights to various stakeholders, practice explaining your past projects in simple terms. Use visuals if possible, as this can help demonstrate your ability to create high-quality maps and dashboards.
✨Stay Current with Geospatial Trends
Familiarise yourself with the latest geospatial technologies and standards. Mention any recent developments or tools you’ve explored, as this shows your commitment to staying updated in the field and your enthusiasm for the role.
