Morgan Sindall Infrastructure has launched a data academy that will provide apprenticeship programmes focussed on analytics, AI and predictive modelling.
Multiverse, the data skills start-up founded by the son of former prime minister Tony Blair, will deliver the training for Morgan Sindall Infrastructure. Multiverse has trained more than 10,000 apprentices in areas such as software engineering and data analytics. It is already working with Multiplex and Kier on similar data academies.
Morgan Sindall Infrastructure has selected more than 75 employees for the first cohort. They will have the option to enrol on one of three Multiverse programmes:
- the 13-month data literacy programme, which covers the core technical skills required to transform data into insights;
- the 15-month data fellowship programme, which delivers training in data analysis, data wrangling, and will give apprentices the skills to clean, analyse and model data, and tell data stories to non-specialists; and
- the degree-level advanced data fellowship that will train apprentices in areas like statistical testing, data ethics, predictive modelling and data security. At the end of the programme, apprentices receive a BSc (Hons) Digital and Technology Solutions (Data Analytics).
Sarah Reid, MD of the Morgan Sindall Infrastructure Highways business unit, said: “Developing our people is at the core of our business and the Infrastructure Data Academy is part of a programme that empowers individuals to grow their skills and take the next steps on their career pathway. It also enables the business to become a digital-first organisation, creating efficiencies through new technology investments to further develop our culture around using data in everyday operations.”
Peppa Wise, vice-president at Multiverse, said: “Morgan Sindall Infrastructure has recognised that empowering their people with vital skills in data is good for both their individual careers, and for the business overall. And the best way to develop these skills is through applied learning, that happens on-the-job, in the real-world.”
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