Job Title: Data Scientist Graduate, Farnborough or Malvern
Location: Farnborough, England, United Kingdom (also Malvern)
Job ID: 20020
Role Type: Early Careers – Graduate
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 and processing stage, through the analysis phase, leading to actionable outputs and advice.
The Data Science and Engineering teams within Software Engineering, Communication Networks & Data Science (SECNDS) discipline consist of a mix of data scientists and data engineers. The team’s skills cover a wide range of disciplines and involve applying both conventional and novel machine learning techniques to customer problems as appropriate to advise on and demonstrate the opportunities created through exploiting their data.
What will I be doing?
The team works across all data types, ranging from numerical data to natural language processing, signals analysis, and imagery interpretation. Necessary data may be collected or simulated using mathematical models.
A typical day will involve working as part of small project teams, attending project meetings, participating in data preparation, and applying relevant machine learning or artificial intelligence techniques. You will code solutions to support this work, integrate with the team’s coding best practices, and may occasionally engage in stakeholder presentations. You will also help with report writing.
Work can be a mix 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
You will need to have obtained or be studying towards at least a 2:2 in a STEM degree with significant mathematical and/or statistical components.
* Mathematics
* Physics
* Computer Science
Additional requirements
* Demonstrable good understanding of statistics (statistical analysis) and/or mathematical modelling.
* Comfortable programming in at least one coding language (e.g., Python, R, C++).
* Some familiarity with basic coding best practices such as version control and code quality.
Beneficial
* Experience with any cloud computing platform.
* Machine learning or data analysis project experience (through academia or personal projects).
* Evidence of soft skills, including examples of working in a team, technical communication (written or oral).
Benefits
* 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 may impact role eligibility based on nationality, previous nationalities held, and country of birth.
Please note that all applicants for this role must be eligible for SC clearance as a minimum. Further guidance can be found at the UKSV National Security Vetting Solution: guidance for applicants – GOV.UK.
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 applications: 5th June 2026.
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