The graduate programme at Jaguar Land Rover has been running for the last three years and last year won the DataIQ Best Development Programme award. Analytics strategy and transformation leader Asheeka Hyde puts the success of the programme down to three things. They are: the immediate return on investment, the strength of the group and the time and the continuous development of the programme.
“The graduates immediately started to produce value for the business, working on really important projects. We had a really diverse range of candidates and the programme was structured with this in mind and we spend quite a bit of time developing it,” she said.
With the 14 graduates in the first cohort Hyde quite sensibly assessed their skills before letting them loose on real world projects. She found that they weren’t familiar with some of the tools and processes used in the team. “It felt unfair to put directly to work, trying to deliver and learn at the same time, without having any training up front,” said Hyde.
The first three weeks introduces the graduates to the basics of descriptive, then diagnostic analytics. They are then given an understanding of data gathering, data cleansing, diagnosis and presentation, data visualisation with Tableau, data quality and preparing data for modelling.
In week four the grads move on to modelling, statistics and learning about common initial algorithms, as well as the tool RapidMiner. In week five they are introduced to data science and the basics of machine learning. The final week is dedicated to a hackathon in which they are set a project on the Monday and have to present on the Friday.
The programme aims to teach them soft skills such as presentation, teamwork, storytelling and stakeholder management. Those weeks are broken down into half a day of introductions, two days of training, two days of project work and a half a day of presentations.
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