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Data Scientist

Royal Veterinary College, U. of London
Cumbria
2 weeks ago
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Data Scientist

Infrastructure Services Division

About the Role

We are looking for an experienced Data Scientist to play a key role in realising the benefits of data at the Royal Veterinary College. This is an exciting opportunity to join a supportive and collaborative team, working with diverse data sources ranging from HR systems to electronic healthcare records from our hospitals. You will help inform institutional decisions and foster innovation and excellence through data.

Key Responsibilities

Work with stakeholders to define and deliver data science projects aligned with the university’s strategic and operational goals Take ownership of data analysis workflows including data extraction, preparation, modelling, and reporting Promote data literacy and champion the value of evidence-based decision making Identify opportunities for new data science initiatives Communicate findings to both technical and non-technical audiences through reports, dashboards, and presentations

About The RVC

We are currently the QS number 1 ranked veterinary school in the world and a great not-for-profit organisation to work for. The University's total reward package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, and free sports/gym facilities, with campuses in Camden and leafy Hertfordshire. A Working from Home Policy is in operation providing hybrid working opportunities as appropriate. 

We offer a generous reward package and benefits including:

• Competitive and attractive pension package

• Generous 30 days annual leave (plus bank holidays and concessionary days at Christmas)

• A range of family friendly policies, including adoption, maternity and paternity pay and leave

• On site café and restaurant

• Free membership to gym facilities at Camden and the Fitness and Wellbeing Centre located on site at Hawkshead (gym, badminton, climbing wall, Zumba, yoga and Pilates classes included)

• Cycle to work scheme

Prospective applicants are encouraged to contact Jenny Wilshaw, Head of Data & Applications at for further information. 

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