CAMBRIDGE UNIVERSITY PRESS OPERATIONS  Salary

CAMBRIDGE UNIVERSITY PRESS OPERATIONS
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Earnings on positions in CAMBRIDGE UNIVERSITY PRESS OPERATIONS

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Estimated salary

£ 2675

Median salary at CAMBRIDGE UNIVERSITY PRESS OPERATIONS

£ 930 Lowest salary
£ 3002 The average salary
£ 7083 Highest salary

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CAMBRIDGE UNIVERSITY PRESS OPERATIONS is looking for employees for positions:

data scientist

Contract type

  • this is an exciting opportunity for a Data Scientist to apply their skills in the growing field of People Analytics
  • you'll work with varied data sets and use diverse techniques to provide insights to a wide range of stakeholders
  • as a Data Scientist specialising in People Analytics, you'll join a team that's passionate about driving evidence-based decision-making in People and Culture, and our wider business
  • we are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge

Requirements

  • advanced coding in Python, R, SQL or similar
  • ability to translate of business challenges and opportunities into data science problems and solutions
  • clear communication of technical information to specialists and non-specialists
  • machine learning and / or statistical analysis and / or natural language processing and / or data engineering, drawing on a range of simple and advanced methods and techniques in line with best practice

Responsibility

  • if you would like to know more about this opportunity and what will make you successful, please see the full job description attached to the bottom of this vacancy on our careers site

Earnings on positions in CAMBRIDGE UNIVERSITY PRESS OPERATIONS

Average salary in this position
Average salary in this position in the country
3000 £
45%
4321 £
1916 £
7%
2039 £
2080 £
-11%
1864 £
3500 £
-20%
2819 £
1850 £
2%
1873 £
2775 £
79%
4948 £
930 £
278%
3514 £
2775 £
96%
5415 £

National average salary

2950 £

Average salary in this company

3002 £

Graph of salary changes over time