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- Tasks: Apply machine learning techniques and code solutions in a collaborative project team.
- Company: Join QinetiQ Limited, a leader in AI and data science.
- Benefits: Enjoy coaching, mentorship, 25 days annual leave, and flexible working arrangements.
- Other info: Perfect opportunity for high school and college students seeking industry experience.
- Why this job: Gain hands-on experience in a dynamic environment while making an impact.
- Qualifications: Background in Computing, Data Science, Mathematics, or Physics; Python and ML experience preferred.
The predicted salary is between 18000 - 25000 £ per year.
QinetiQ Limited is seeking a Data Scientist for a Year in Industry placement in Malvern or Farnborough. The role involves working within a project team to apply machine learning techniques, coding solutions, and engaging with stakeholders.
Applicants should have backgrounds in Computing, Data Science, Mathematics, or Physics, with experience in Python and machine learning preferred.
The position offers a range of benefits, including coaching, mentorship, and 25 days of annual leave. Flexible working arrangements are available based on project requirements.
Data Scientist Year-in-Industry: AI, ML & Data in Malvern employer: QINETIQ LIMITED
Contact Detail:
QINETIQ LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Year-in-Industry: AI, ML & Data 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 insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects. We want to see your coding prowess in Python and how you tackle real-world problems.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data science concepts and coding challenges. We can help with resources to ace those tricky questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive tips and updates on new opportunities there.
We think you need these skills to ace Data Scientist Year-in-Industry: AI, ML & Data in Malvern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and machine learning. We want to see how your background in Computing, Data Science, Mathematics, or Physics makes you a great fit for the role!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data science and how you can contribute to our project teams. Be genuine and let your personality come through.
Showcase Relevant Projects: If you've worked on any projects involving machine learning or coding solutions, make sure to mention them! We love seeing practical examples of your skills and how you've engaged with stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and helps us get to know you better!
How to prepare for a job interview at QINETIQ LIMITED
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning techniques and Python. Be ready to discuss specific projects or experiences where you've applied these skills, as this will show your practical understanding and enthusiasm for the role.
✨Engage with Stakeholders
Since the role involves engaging with stakeholders, think about how you can demonstrate your communication skills. Prepare examples of how you've successfully collaborated with others in past projects, highlighting your ability to explain complex concepts in simple terms.
✨Show Your Problem-Solving Skills
Data science is all about solving problems. Be prepared to tackle a hypothetical problem during the interview. Practice explaining your thought process clearly and logically, as this will showcase your analytical skills and approach to challenges.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! This shows your interest in the company and the role. Consider asking about the types of projects you might work on or how the team collaborates, which can give you valuable insights into the company culture.