At a Glance
- 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 Great Malvern employer: QINETIQ LIMITED
QinetiQ Limited is an excellent employer for aspiring Data Scientists, offering a supportive work culture that prioritises employee growth through coaching and mentorship. Located in the innovative hubs of Malvern or Farnborough, the company provides flexible working arrangements and generous benefits, including 25 days of annual leave, making it an ideal environment for those looking to develop their skills in AI and machine learning while contributing to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Year-in-Industry: AI, ML & Data in Great Malvern
✨Tip Number 1
Network like a pro! Reach out to current or former employees at QinetiQ through LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects. We want to see what you can do with Python, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your coding skills and machine learning concepts. We recommend mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have tips and resources available that can help us stand out in the process.
We think you need these skills to ace Data Scientist Year-in-Industry: AI, ML & Data in Great 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:Use your cover letter to tell us why you're excited about this Year in Industry placement. Share specific examples of projects or experiences that showcase your skills and passion for data science.
Showcase Your Teamwork Skills:Since you'll be working within a project team, it's important to demonstrate your ability to collaborate. Mention any group projects or teamwork experiences that highlight your communication and engagement 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 shows us you're serious about joining our team!
How to prepare for a job interview at QINETIQ LIMITED
✨Know Your Tech
Make sure you brush up on your Python skills and any machine learning techniques you've used. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience and understanding of the field.
✨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.
✨Research QinetiQ
Familiarise yourself with QinetiQ's projects and values. Understanding their work in AI and data science will help you tailor your answers and show genuine interest in the company, which can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. This could be about the team dynamics, the types of projects you'll be working on, or how they support professional development. It shows you're engaged and serious about the opportunity.
