Job Description

Location: Abingdon Oxfordshire
Posted: 18th Jan 2022
Salary: £60,000
Job Type: Permanent

Data Scientist, PhD, Commercial R&D

This is a great opportunity for a Data Scientist (commercial or academic) with strong statistical, mathematical and modelling skills, to join a world-class scientific R&D organisation, with offices across the globe.


Along with a competitive basic salary, the Data Scientist position also attracts a bonus scheme which is targeted at 10% of basic salary, but has been paying out above target over recent years, a pension contribution of 5%, although they’ll match contributions to 10%, private medical cover and life assurance.  Holidays are set at 25 days + bank holidays and they operate a flexible 37.5 hour week.  Whilst up to two days a week remote working is possible, their offices are easily commutable from the A34 and there is free parking on site.

The Opportunity

As part of a digital transformation, the Data Scientist will be part of a highly-experienced global team, seeking to change the way the company works with its data.  Working closely with scientists and engineers, the Data Scientist will use data to provide insights, solve problems, and enable superior data-driven decision making.  The successful Data Scientist will develop their skills in data retrieval, manipulation, analysis, modelling and visualisation, as well as developing, supporting and maintaining data science software tools.

The successful Data Scientist is likely to have:

  • A strong educational background, ideally a PhD in Statistics, Data Science, or some other discipline with a strong statistical element
  • Experience of data modelling and data manipulation
  • Experience of coding (Python, R, etc.) and of statistical/data science software packages is a plus, especially for candidates seeking the higher end of the salary range on offer!

I want to do that!

If you have any questions or would simply welcome a chat about this excellent Data Scientist position and company, just call me or drop me an email, as I’d love to hear from you!  If, though, you think this role could be right for you and you’d like to learn more, then please apply now.

Data Scientist

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