As we all know, one big aspect of delivering effective services under financial pressure is making the right commissioning decisions, based on a combination of expected demand, and local policy choices about how to meet that demand in the best way for the local community. We’ve also seen that according to research by the Local Government Information Unit with The Municipal Journal, 65% of authorities expect to have to use their reserves this year, putting extra urgency on smart commissioning. This blog post explains more about how we are trying to tackle that challenge.
We’re looking for a marketing intern to help us reach and educate more clients for our innovative new city data tool, Witan. This is a new position, and depending on product progress and your ambitions, it could develop into a permanent role.
The challenges may be big. And the future unclear. But a data-driven revolution is taking shape in the public sector. A revolution driven forward by innovative leaders and a handful of technology companies, working together to bring the benefits of data to local communities. The development of state of the art platforms like Witan is making the collection, analysis and sharing of data much easier, and more accessible, for public sector organisations. These new solutions offer the public sector practical ways to drive change and meet challenging goals.
In a recent blog post we talked about using data to improve local government service planning and delivery. As part of our Witan platform, we are delivering a number of pre-built models for common service planning and demand forecasting challenges that face city leaders; one of the most popular of these is Special Educational Needs demand forecasting and commissioning, which is a particularly costly and complex area to manage. We’ve now launched a video showing the experience of using the model within the Witan platform - please view and enjoy!
One question that often comes up when we talk to people new to data science is “Why not just use Excel?” It’s a reasonable question that’s not as easy to answer as you might think, but answering it does go some way to answering a key question anyone planning a data science project needs to consider - what’s the simplest way to get to the results I need?
Interested in functional programming? Want to build UIs in ClojureScript, using tools like React and Reagent? We’re looking for a frontend developer to help us work on a project with global impact.
Update: Please note this post has now been filled
We’re looking for an intern to help us develop an exciting city data product, Witan. More details are below.
At Mastodon C, a large percentage of our workforce is remote. There are plenty of good reasons why remote work is our preference, but it isn’t without its issues. This is especially true for people who haven’t done it before and often collaborate as part of their role. Most of the remote employees at MC are software engineers so we focused on improving this area first.
Local government and cities have a challenging job - delivering multiple complex services, which have a large influence on their citizens’ daily lives, and doing that in an environment of extreme financial pressures. According to research by the Local Government Information Unit with The Municipal Journal, 65% of authorities expect to have to use their reserves this year. Local government leaders are increasingly turning to technology and data-driven approaches to help make the difficult decisions necessary, to plan and deliver services optimally under these constraints, and to co-ordinate complex services around what citizens expect and need.
We’re looking for a coder/data scientist to help us develop an exciting city modelling product, as well as our existing data science projects. More details are below.
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