Data Scientist Year in Industry Placement- Farnborough or Malvern

At QinetiQ we are creating a workplace that is inclusive; where our differences are not only embraced but make us stronger. A place where we can connect with each other and benefit from the experiences and thinking from people with varied backgrounds, and at different stages in their careers.

About the team Data Science & Engineering: 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. The Data Science and Engineering teams within Software Engineering, Communication Networks & Data Science (SECNDS) discipline consist of a mix of data scientists (exploring data sets and algorithms) and data engineers (building the infrastructure to capture and process the data). The team’s skills however are varied and cover a wide range of disciplines. Our daily work involves applying both conventional and novel machine learning techniques to customer problems as appropriate to advise on and/or demonstrate the opportunities created through exploiting their data. 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.

What will I be doing? The team works across all data types, everything from numerical data to natural language processing and signals analysis through to imagery interpretation. Where necessary, we also collect or simulate data using mathematical models. A typical day will see you working as part of a small project team attending project meetings, preparing data, and applying the relevant Machine Learning or Artificial Intelligence techniques. You will be expected to code up solutions to support this work, and to integrate with the team’s coding best practices. You may occasionally be involved in stakeholder engagements or presentations, and you will often help with the report writing process. Your days can have a mixture of on-site and home working, depending on the specific project’s data requirements. We frequently collaborate with colleagues and subject experts across the business to gain cross-domain insight to support our work.

Academic requirements:

• Computing / Data Science
• Mathematics
• Physics

Additional requirements:

• 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

Our Benefits (the list is not exhaustive):

• On demand learning, access to courses, modules, and lectures via multiple digital learning platforms
• Coaching and Mentoring
• 25 days annual holiday excluding bank holiday
• Matched contribution pension scheme, with life assurance
• Employee discount portal
• Employee Assistance Programme
• Employee-led networks

Security: Many of our roles at QinetiQ are subject to national security vetting. Applicants who already hold the appropriate level of vetting may be able to transfer it upon appointment, subject to approval. Many roles are also subject to restrictions on access to information, which means factors such as nationality, previous nationalities held and the country in which you were born may impact your role. Please note that all applicants for this role must be eligible for SC clearance, as a minimum. Further guidance regarding clearances can be found: UKSV National Security Vetting Solution: guidance for applicants - GOV.UK (www.gov.uk). Please also be aware that under immigration rules, our Early Careers roles do not meet the legal threshold for candidates who are resident in the UK on student visas.

Closing date for new applicants: 22nd May 2026