Associate Data Scientist

This role sits at the heart of the Data Science Services Low/No Code team. The team uses low code/no code tools, primarily but not limited to Power Platform, to develop a range of interactive apps and data visualisations that are relied upon daily by thousands of colleagues across the department, delivering tangible, large-scale operational impact, while also pioneering the use of low-code AI tools to solve business problems, making this an exciting time to join.

On a day-to-day basis you will work alongside other data scientists, data engineers and other IT professionals, using the analytical tools and environments in the Department (Power Platform, R, R Shiny) to help develop and deliver interactive products, as well as statistical analysis and insight. 
 
You will collaborate with others to develop data science solutions and outputs supporting the organisation. You’ll also prepare and manipulate data, perform analytics and present these to stakeholders. 

Developing low code/no code data science solutions. 
Creating apps to gather data and automate processes. 
Developing automation solutions to processes. 
Creating dashboards/data visualisations to aid analysis and data driven decision making. 
Taking an inquisitive approach, seeking out and evaluating new and emerging technologies.
Supporting the wider citizen developer community. 

Person specification
An ideal candidate would be inquisitive, curious about data and keen to learn and develop. We are looking for someone who is aware of project delivery methods, ethical considerations as well as having knowledge of the technologies used. You’ll also be a good communicator, who is able to describe technical issues to non-technical stakeholders and conversely be able to understand and liaise with technical specialists. 
 
We expect the candidate to have strong knowledge of Power Platform, particularly Power Apps and Power Automate. 

Essential Criteria

Programming and Build (data science) 

Write and test scripts and create basic models in one or more languages, particularly PowerApps and Power Automate.
Collaborate on shared codebases, using a variety of methodologies.
Data Science Innovation 

Seek out and research new data science techniques, particularly using the Power Platform, to support learning.
Ask questions to improve your knowledge and learn about data science norms.
See possibilities for improvements and innovation.
We expect the candidate to have strong knowledge of Power Apps, and Power Automate. 
Delivering Business Impact 

Collaborate to help identify user needs and develop and deliver data science products, using Power Apps and Power Automate. 
Communicate effectively and present analysis and visualisations tailored to your audience.
Desirable Criteria

Knowledge of CoPilot Studio, AI Builder, CoPilot Agents would be an advantage.