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- Tasks: Engage in data preparation, statistical modelling, and coding with machine learning.
- Company: Join QinetiQ Limited, a supportive team in Malvern focused on data insights.
- Benefits: Enjoy 25 days annual leave, training, mentoring, and a matched contribution pension scheme.
- Other info: Diverse opportunities for growth and development in a dynamic environment.
- Why this job: Gain hands-on experience in data science and make a real impact with your skills.
- Qualifications: GCSEs required; A-Level in Maths preferred for aspiring data scientists.
The predicted salary is between 18000 - 25000 £ per year.
QinetiQ Limited in Malvern is looking for a Data Science Apprentice to work within a supportive team focused on leveraging data insights. You will engage in data preparation, statistical modeling, and coding, gaining hands-on experience with machine learning and programming in Python.
Applicants should meet GCSE requirements and ideally possess an A-Level in Maths. The role offers diverse opportunities, including training and mentoring, plus benefits like 25 days annual leave and a matched contribution pension scheme.
Data Scientist Apprentice: Build ML Solutions & Analytics in Malvern employer: QINETIQ LIMITED
Contact Detail:
QINETIQ LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Apprentice: Build ML Solutions & Analytics in Malvern
✨Tip Number 1
Network like a pro! Reach out to current or former employees at QinetiQ on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and understanding machine learning concepts. We want to show them we’re ready to dive into data preparation and statistical modelling!
✨Tip Number 3
Don’t forget to showcase any relevant projects or coursework during the interview. We should highlight our hands-on experience with data analytics to impress the team!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to match what QinetiQ is looking for.
We think you need these skills to ace Data Scientist Apprentice: Build ML Solutions & Analytics in Malvern
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data science! Share any projects or experiences that highlight your interest in data preparation and machine learning. We love seeing candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight relevant skills like statistical modelling and Python programming. We want to see how your background aligns with what we’re looking for, so don’t be shy about showcasing your strengths!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do – just follow the prompts and submit your details!
How to prepare for a job interview at QINETIQ LIMITED
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially around statistical modelling and machine learning concepts. Be ready to discuss how you've applied these in any projects or coursework, as this will show your understanding and enthusiasm for the role.
✨Show Off Your Python Skills
Since coding in Python is a key part of the job, be prepared to talk about your experience with it. Bring examples of any projects where you've used Python for data analysis or machine learning. If you can, practice some coding problems beforehand to boost your confidence!
✨Engage with the Team Spirit
QinetiQ values teamwork, so during the interview, highlight your ability to work collaboratively. Share experiences where you've successfully worked in a team, especially in a data-related context. This will demonstrate that you're not just a great individual contributor but also a team player.
✨Ask Insightful Questions
Prepare some thoughtful questions about the role and the team. This shows your genuine interest in the position and helps you understand if it's the right fit for you. You might ask about the types of projects you'll be working on or how the team approaches mentoring and training.