Job Title: Data Scientist Apprenticeship
Location: Farnborough
Type: Permanent, Fulltime
Salary: £27,150
Job ID: 19996
We are creating an inclusive workplace where differences are embraced and valued.
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 initial gathering and processing, through analysis, to actionable outputs and advice.
The Data Science and Engineering teams within Software Engineering, Communication Networks & Data Science (SECNDS) comprise data scientists and data engineers. Our daily work involves applying conventional and novel machine learning techniques to customer problems, advising on opportunities created through data exploitation.
What will I be doing?
The team works across all data types – 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 the apprentice working as part of small project teams, attending meetings, contributing to data preparation and applying relevant machine learning or artificial intelligence techniques. Over time you will be expected to code solutions, integrate with team coding best practices, and may participate in stakeholder engagements, presentations, and report writing.
In this role you will gain practical experience across the end‑to‑end data pipeline – from collection, wrangling and modelling to generating conclusions. You will learn statistical techniques such as supervised and unsupervised machine learning algorithms, develop programming skills in Python and cloud environments, and acquire soft skills including planning, technical report writing and presenting.
Apprenticeship details
Title: Level 6 Data Scientist Apprenticeship
Qualification: BSc (Hons) Data Science
Course provider: Cranfield
Academic requirements
* Grade 5 in GCSE Mathematics or equivalent, Grade 4 in GCSE English Language or equivalent (prior to admission) with A‑Level Maths expected. A‑Levels in Citizenship Skills, General Studies and Critical Thinking are not accepted.
* Level 4 Data Analyst apprenticeship at Merit or Distinction.
Additional requirements
* You must be able to travel to the training provider for the academic elements of the Level 6 Apprenticeship. Expenses for travel will be reimbursed in line with our expenses policy.
* Some understanding of statistics (statistical analysis) and/or mathematical modelling.
* Some experience of programming in at least one coding language, e.g. Python, R, or C++.
* Some familiarity or experience 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 and technical communication (written or oral).
How to apply
Please fill in the application and include both a CV and a covering letter.
Our Benefits
* On‑demand learning, access to courses, modules and lectures via multiple digital learning platforms.
* Coaching and Mentoring.
* 25 days annual holiday excluding bank holidays.
* Matched contribution pension scheme with life assurance.
* Flexible benefits package.
* 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 an appropriate level of vetting may transfer it upon appointment, subject to approval. All applicants for this role must be eligible for SC clearance as a minimum. Guidance regarding clearances can be found on GOV.UK.
Recruitment Process
Our recruitment process is inclusive. If you have a disability or health condition that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.
Additional information
QinetiQ is a place where you can make a real difference. We welcome candidates from all backgrounds and encourage you to join our inclusive culture.
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