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  4. Data Analytics Placement 2022
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It’s an exciting time to be join one of our Early Careers programmes at QinetiQ. We are always looking for great people to join our team, whether you are taking your first steps in starting a career or you are looking to make a career change, we have a wide range of exciting opportunities. If you would like to be part of one of our teams who are helping to improve today and shape tomorrow then we would love to hear from you!

Analysis, modelling and simulation

In AMS our role is to ensure our customers gain the maximum advantage from their data. We are involved at all stages of the data lifecycle from the initial gathering & processing stage, through the analysis phase, leading to actionable outputs & advice.

Our aims are to ensure: that starting data is of the highest quality; that it is quickly and efficiently processed into clear, meaningful information; that we extract deeper insight from it; and that we provide robust, data-led advice and take sound, evidence-based actions.

We have a strong pedigree in sensor design, data analysis & processing, and data fusion. We are at the cutting edge for designing tools, software and automation techniques that enable the rapid and timely transfer of relevant data and information.

We also deal in information exploitation techniques, for real-world use but also in the fields of simulation and the design of synthetic environments.  We develop and use numerical and mathematical models for a wide range of engineering and business applications.

Requirements

Academic

You will need to be studying towards at least a 2:2 in a degree with a key focus on any of the disciplines listed below:

  • Computing / Data Science
  • Mathematics
  • Physics

Additional 

  • Good understanding of statistics (statistical analysis) is beneficial
  • Experience in Python, cloud computing &/or machine learning is an advantage
  • Practical experience (including hobbies & academic projects) of analysis data / Ai / Machine learning / neural networks / cloud technologies is beneficial

Benefits

  • Annual Leave – want more time for you? Employees can buy up to five days more holiday a year with this benefit.
  • Cortex – Join a social network across QinetiQ that take part in a range of social, technical & wellbeing events which are funded for all employees in their first 4 years at QinetiQ.
  • Annual Travel Insurance – QinetiQ employees can get their annual travel insurance for Europe or Worldwide cover at a discount rate. Including winter sports.
  • Cycle to work scheme - Cycle2Work is an employee benefit aimed at encouraging you to cycle to work.
  • Gourmet Society – the opportunity to buy up to 4 cards that enable you (or close family and friends) to have up to 50% of meals out at selected restaurants or up to 40% off cinema tickets.
  • Retirement Savings Plan (RSP) – Pensions are one of the most important and valuable benefits available to you; all new employees are automatically enrolled into the QinetiQ Retirement Savings Plan.