At a Glance
- Tasks: Dive into data science, analyse real-world projects, and enhance operational effectiveness.
- Company: Join a leading tech firm supporting the UK Ministry of Defence.
- Benefits: Enjoy flexible benefits, coaching, 25 days holiday, and access to on-demand learning.
- Other info: Dynamic team environment with opportunities for career growth and mentorship.
- Why this job: Make an impact with cutting-edge technology while developing your skills in AI and machine learning.
- Qualifications: A-Levels BBC including Maths; coding experience is a plus.
The predicted salary is between 27150 - 27150 £ per year.
Job Location: Lincoln
Job Type: Fulltime, Permanent
Salary: £27,150
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. You must also have obtained GCSEs at A*-C.
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
- 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. 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.
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.
Data Scientist Apprentice in Lincoln employer: QinetiQ
Contact Detail:
QinetiQ 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 data scientists or apprentices on LinkedIn. Ask them about their experiences and any tips they might have. You never know, they might even refer you to open positions!
✨Tip Number 2
Get your hands dirty with projects! Work on personal data science projects or contribute to open-source ones. This not only boosts your skills but also gives you something impressive to talk about in interviews.
✨Tip Number 3
Practice your interview skills! Mock interviews can be a game changer. Get a friend to quiz you on common data science questions or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are passionate about data science. Plus, it shows you're proactive and really interested in joining our team.
We think you need these skills to ace Data Scientist Apprentice in Lincoln
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science shine through! Share any relevant projects or experiences that highlight your interest in maths, physics, and coding. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your application to fit the role. Highlight your skills in data analysis, engineering, and any coding experience you have, even if it's just a hobby. This helps us see how you can contribute to our team right from the start!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We appreciate when candidates can communicate their ideas effectively, as this is key in data science!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at QinetiQ
✨Know Your Data Science Basics
Brush up on your maths and physics fundamentals, as well as key data science concepts. Be ready to discuss how you can apply these skills in real-world scenarios, especially in relation to the role's focus on data quality and analysis.
✨Show Off Your Coding Skills
Even if you’re not a coding whiz, having a basic understanding of languages like Python or Matlab can set you apart. Prepare to talk about any coding projects you've worked on, even if they were just for fun or school assignments.
✨Demonstrate Leadership Experience
Think about times when you've taken the lead, whether in school projects, clubs, or sports. Be ready to share specific examples that highlight your leadership skills and how they can benefit the team at Mission Systems.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. This shows your genuine interest and helps you understand how you can contribute to their mission of providing robust, data-led advice to customers.