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: Gain valuable industry experience with excellent career growth potential.
- Why this job: Make an impact in the exciting field of AI and data science.
- Qualifications: Background in Computing, Data Science, Mathematics, or Physics; Python 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 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
✨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 portfolio showcasing your machine learning projects. We want to see what you can do with Python and how you tackle real-world problems.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on coding challenges and machine learning concepts. We can help you find 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’re always looking for passionate candidates who fit the bill!
We think you need these skills to ace Data Scientist Year-in-Industry: AI, ML & Data
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 for us to receive your application and ensures you don’t miss out on any important updates from us!
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.
✨Show Your Passion for Data
Let your enthusiasm for data science shine through! Talk about what excites you about AI and ML, and share any personal projects or research you've done. This will help you stand out as someone who is genuinely interested in the field.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. This could be about the team dynamics, the types of projects you'll be working on, or how the company supports professional development. It shows you're engaged and serious about the opportunity.
