- £18,000 annual salary (pro-rata for the duration of the internship)
- Central London
- Full time
- 25 day’s annual leave (pro-rata 8 days)
So what's it about?We want to show the world how interesting city-oriented data science can be. Cities are complex systems and providing insight into how they operate can be incredibly interesting and even help cities make changes for the better. However, because they’re complex places, using cities as playgrounds for experiments isn’t always easy. We want you to help us demonstrate the value of numeric approaches to city challenges by being our resident data science experimenter. If you’re interested in open source software, reproducible science and applied numeric challenges then this might be the opportunity for you.
What will you be doing?Main Responsibilities:
You will be leading the development, execution and documentation of two city data science experiments. Each experiment will address challenges relating to either healthy cities, integrated urban planning or urban mobility in cities respectively and so you should be open to interdisciplinary work. Specifically, these experiments will involve you:
• Identifying city challenges relating to healthy cities, integrated urban planning or urban mobility
• Sourcing open data to address these respective challenges
• Performing statistical / modeling analysis on the data to provide insight
• Documenting your process and your code
• Writing-up your experiments
• Generating compelling visualisations and blog pieces to document the insight generated as a result of your experiments.
The main goal of your internship will be to publish the results from your experiments online. In the spirit of open and reproducible research we want you to share the realities of the process of city-based data-driven experimentation.
What will be the first year outcomes?
Don't just take it from us, why not read about Bin's story and hear about his experience here.
What kind of person are we looking for?We’re looking for someone who’s interested in city challenges and applied data science. We like to focus on transparent and reproducible data science and use open source freely available tools and data where possible. In fact, we like it so much we’re developing tools to help make it easier for others. Because you’ll be working with real-world data we want someone who’s capable of working with setbacks and unforeseen challenges. If you like the sound of scraping, cleaning, analysing and visualising data and you have the know-how to do these things then we’d like to hear from you:
A background in a numeric discipline, for example computer science, engineering, one of the physical sciences or something similarly numerate. In particular, experience with experimental design, data manipulation, numeric analysis / modelling and scientific communication are desired.
• Experience with one of: R, Python, Julia
• Strong data acquisition / manipulation skills
• Experience with statistics and use of machine learning methods
• Experience with version control software
• Strong writing and dissemination skills
• Demonstrated experience with end-to-end data science experiments
• Demonstrated application or development of mathematical models to city specific challenges.