Company: QinetiQ
Location: Farnborough
Posted: May 20th, 2026
Job Title: Data Scientist Graduate
Job Location: Farnborough or Malvern
Job Type: Permanent/Fulltime
Salary: £33,750
Job ID: 20020
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 (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.
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 our data science graduates working as part of small project teams. You will attend project meetings, be involved in data preparation, and apply 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 mix on‑site and home working, depending on the specific project’s data requirements.
In this role you will gain practical experience in the full end‑to‑end data pipeline from data collection, data wrangling and modelling through to generating conclusions and results. You will gain knowledge of statistical techniques such as supervised and unsupervised machine learning algorithms, develop programming skills in Python and for the Cloud, and general data analysis techniques. You will also gain soft skills such as planning, technical report writing, and presenting.
Applicants must be eligible for SC clearance. Guidance about clearances can be found at www.gov.uk. Under immigration rules, Early Careers roles do not meet the legal threshold for candidates who are resident in the UK on student visas.