At a Glance
- Tasks: Engage in data preparation, statistical modelling, and coding with Python.
- Company: Join QinetiQ Limited, a supportive team in Malvern focused on data insights.
- Benefits: Enjoy 25 days annual leave and a matched contribution pension scheme.
- Other info: Receive training and mentoring in a dynamic environment.
- Why this job: Gain hands-on experience in machine learning and programming while making an impact.
- Qualifications: GCSEs required; A-Level in Maths preferred.
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 employer: QINETIQ LIMITED
QinetiQ Limited in Malvern is an excellent employer for aspiring Data Scientists, offering a collaborative work culture that prioritises employee growth through comprehensive training and mentoring. With benefits such as 25 days of annual leave and a matched contribution pension scheme, employees are supported both professionally and personally, making it a rewarding place to launch your career in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Apprentice: Build ML Solutions & Analytics
✨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
Show off your skills! Prepare a mini-project or portfolio showcasing your data science work, especially in Python. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges. We can even do mock interviews with friends to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and follow up easily.
We think you need these skills to ace Data Scientist Apprentice: Build ML Solutions & Analytics
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, statistical modelling, or machine learning. This will help us understand why you're excited about this role.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Data Scientist Apprentice position. Highlight relevant skills, like your coding experience in Python and any maths qualifications. We want to see how you fit into our team!
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 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’s super easy to do!
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 your studies or any projects, as this will show your passion and understanding of the field.
✨Show Off Your Python Skills
Since coding in Python is a key part of the role, be prepared to talk about your experience with it. Bring examples of any projects or coursework where you've used Python for data analysis or machine learning. If you can, practice coding problems beforehand to boost your confidence!
✨Engage with the Team Spirit
QinetiQ values teamwork, so be ready to discuss how you work well in a team setting. Share examples of group projects or collaborations from your studies, highlighting your ability to communicate and contribute effectively within a team.
✨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 mentoring process works.
