At a Glance
- Tasks: Dive into data science, analyse real-world projects, and enhance operational effectiveness.
- Company: Join QinetiQ, a diverse and inclusive tech company making a difference.
- Benefits: Enjoy 25 days holiday, coaching, mentoring, and flexible benefits.
- Other info: Be part of a supportive team with excellent career growth opportunities.
- Why this job: Gain hands-on experience in AI and machine learning while working with cutting-edge technology.
- Qualifications: A-Levels BBC including Maths; GCSE Grade 5 in Maths and Grade 4 in English.
The predicted salary is between 27150 - 27150 € per year.
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.
Role Purpose: In Mission Systems our role is to ensure our customers get the most out of their data. 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 to our customers, and take sound, evidence-based actions.
Our work is an exciting blend of maths, physics, engineering, computer science and IT. We are at the cutting edge for designing and applying tools, software and automation techniques that enable the rapid and timely transfer of relevant data and information.
We have established teams working in Lincoln with direct connections to other experts in places like Malvern, Farnborough and Portsmouth. Additionally, we have dedicated teams who are embedded with the customer at RAF Coningsby, RAF Marham and RAF Waddington. These teams support the UK Ministry of Defence, in particular the Royal Air Force, in the processing, assimilation, analysis and fusion of data.
Key Accountabilities:
- Through your academic studies, you will be expected to gain an in-depth knowledge of data science, analysis, engineering, and manipulation.
- Your skills and knowledge will be augmented by working on research tasks and real-world projects that enhance the operational effectiveness of platforms and systems.
- You will be provided with opportunities to gain expertise in Digital Modelling, AI, and Machine Learning.
Key Capabilities:
- Strong Maths and Physics
- Have an interest and/or experience within computer coding. Matlab, Python, C++ experience is beneficial but not essential.
- Leadership skills OR experience in leadership, this can be via hobbies or education.
- You must be able to travel to the training provider for the academic elements of the Level 6 Apprenticeship.
Experience & Qualifications:
- BBC at A-Level to include Maths. Please note that we cannot accept A-Levels Citizenship Skills, General Studies, and Critical Thinking.
- Grade 5 in GCSE Mathematics or equivalent, Grade 4 in GCSE English Language or equivalent.
How to apply: Please fill in the application and include both a CV and a covering letter.
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
- 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 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.
Recruitment Process: We want to make sure that our recruitment process is as inclusive as possible and we aspire to bring out the best in our candidates by creating an environment where everyone feels valued, heard and supported. 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.
QinetiQ is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity, rewards integrity and merit, and where you’ll be empowered to fulfil your potential. We welcome candidates from all backgrounds, come and be part of our team!
Closing date for new applicants: 22nd May 2026
Data Scientist Apprentice in Lincoln employer: QinetiQ Security & Defense Contractors
At QinetiQ, we pride ourselves on fostering an inclusive and supportive work environment where diversity is celebrated and every employee is empowered to reach their full potential. As a Data Scientist Apprentice in Lincoln, you will benefit from extensive learning opportunities, mentorship, and a collaborative culture that encourages innovation and professional growth, all while contributing to meaningful projects that support the UK Ministry of Defence.
Contact Detail:
QinetiQ Security & Defense Contractors Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Apprentice in Lincoln
✨Tip Number 1
Network like a pro! Reach out to current or former employees at QinetiQ on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Scientist Apprenticeship. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your maths and coding skills. Since this role involves data manipulation and analysis, be ready to discuss your knowledge of Python, Matlab, or C++. We want to see your passion for data science shine through!
✨Tip Number 3
Showcase your leadership skills! Whether it's through school projects, clubs, or even sports, highlight any experience where you've taken charge. QinetiQ values leadership, so let us know how you’ve led a team or initiative.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Make sure your CV and covering letter are tailored to the role, emphasising your enthusiasm for data science and the unique skills you bring to the table.
We think you need these skills to ace Data Scientist Apprentice in Lincoln
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that are relevant to the Data Scientist Apprentice role. Highlight any maths, physics, or coding experience you have, even if it's from hobbies or projects.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background makes you a great fit for the team at QinetiQ. Be genuine and let your personality come through.
Showcase Your Learning Mindset:Since this is an apprenticeship, we want to see your eagerness to learn. Mention any relevant courses, online learning, or personal projects that demonstrate your commitment to developing your skills in data science.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at QinetiQ.
How to prepare for a job interview at QinetiQ Security & Defense Contractors
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially in maths and physics. Be ready to discuss how these subjects apply to real-world scenarios, as this role is all about turning data into actionable insights.
✨Show Off Your Coding Skills
Even if you’re not a coding whiz, having some familiarity with languages like Python or Matlab can set you apart. Prepare to talk about any projects or coursework where you've used coding to solve problems or analyse data.
✨Demonstrate Leadership Experience
Whether it’s through school projects, sports, or clubs, be ready to share examples of how you’ve taken the lead. QinetiQ values leadership skills, so highlight any experiences that showcase your ability to guide a team or project.
✨Ask Thoughtful Questions
Prepare some insightful questions about the role and the company culture. This shows your genuine interest in the position and helps you determine if it’s the right fit for you. Think about asking how they integrate new technologies in their data processes.
