Urban Intelligence is looking for a highly skilled junior data scientist. Working with a diverse group of talented and multi-disciplinary professionals, this unique role will provide you with an exciting opportunity to collaborate with a world-class team focusing on the development of innovative geospatial solutions for town planning.
Operating in a forward-thinking and multi award-winning start-up environment, you’ll contribute to bridging the gap between technology, planning and development, and coming up with creative solutions to improve towns and cities and productivity within the development industry. As a tech-for-good business we are passionate about creating better public services whilst addressing the key issues of our time from the Housing Crisis to climate change.
Urban Intelligence is a technology business with a focus on digitising the planning system. We’ve developed several first-of-a-kind solutions that have received wide acclaim across the sector. We’re keen to attract progressive individuals that want to push the boundaries of the current system even further. Our clients include leading local authorities across the country including Cambridge City Council, Cornwall Council and Newcastle City Council. Other public sector bodies include Transport for London and the Ministry of Housing, Communities and Local Government.
You will be actively involved in live client projects, supporting our Lead Geospatial Data Scientist in running advanced analysis and queries to provide value-adding research and insight. Depending on your interests, you will be provided with the opportunity to further develop skills in pathways including; software development, data science, artificial intelligence and/or project management.
This role will be hybrid based primarily in our Bristol office.
Important: Due to receiving a significant number of strong candidates, we will be closing this application early on 24th November 23:59 GMT.
Original Closing Date: 30th of November 23:59 GMT
We may decide to close this application early if we receive a high number of strong candidates, we would therefore encourage you to apply as soon as possible.
Requirements
The ideal candidate must have
Bonus skills/experience
Benefits
We can provide