A joint apprenticeship scheme co-developed between ARU, Cambridge Assessment and Cambridge University Press is equipping people with the skills they need to work in the fast-growing field of data science.
Apprentices were recruited to join the two Cambridge organisations as assistant data scientists, where they are combining workplace learning with study towards a BSc (Hons) or MSc degree in Data Science with ARU. They are learning some of the most sought-after skills in the job market, including programming, big data analytics and machine learning.
Cambridge Assessment and Cambridge University Press worked closely with ARU to ensure that these opportunities fulfil everything one would expect from a world-class apprenticeship.
Data scientists are increasingly becoming involved in almost everything that Cambridge Assessment and Cambridge University Press do. Their roles help to unlock the power of data for customers. That could be by helping to develop and deliver exciting new data-driven adaptive learning and assessment products to learners and schools, using deep machine learning to train an algorithm to provide instant feedback to learners, or developing sophisticated forecasting models to help warehouse staff predict and plan for peak demand.
The Data Science apprentices have diverse career experiences and educational backgrounds: some were school leavers who wanted to combine practical, on-the-job learning with academic study and earn a salary while they studied for a degree. Others previously worked in other fields and were looking to upskill or change career paths.
Nick Raikes, Assistant Director of Research at Cambridge Assessment, said:
“Looking beyond traditional hiring routes and embracing diversity were exactly what we were aiming to achieve with our Data Science Apprenticeships. Our apprentices have brought fresh perspectives to invigorate our teams. We’re genuinely passionate about recognising potential and determined to give our apprentices the best possible start to their data science careers.
“This is a great example of how non-traditional routes such as apprenticeships can unlock fantastic long-term career options in exciting and sought-after fields such as data science – and bring in new talent to the organisation.”
Heidi Mulvey, Head of Community Engagement at Cambridge University Press, added:
Suparna Ghose, Principal Consultant, Degrees at Work at ARU, says of the initiative: