Data Scientist Graduate β€” Hybrid & Learning Focus in Farnborough

Data Scientist Graduate β€” Hybrid & Learning Focus in Farnborough

Farnborough Full-Time 28000 - 38000 € / year (est.) No home office possible
QinetiQ

At a Glance

  • Tasks: Gain hands-on experience in the data lifecycle and apply machine learning techniques.
  • Company: Join QinetiQ, a leader in innovative technology solutions.
  • Benefits: Enjoy flexible working, coaching, and 25 days of annual holiday.
  • Other info: Hybrid work model with opportunities for SC clearance.
  • Why this job: Kickstart your career in data science with real-world projects and mentorship.
  • Qualifications: Strong background in maths, physics, or computer science; Python programming skills required.

The predicted salary is between 28000 - 38000 € per year.

QinetiQ is looking for a Data Scientist Graduate to join their Farnborough or Malvern team. You will gain hands-on experience in the data lifecycle, from collection to analysis, while applying machine learning techniques.

The ideal candidate will have a strong background in mathematics, physics, or computer science and be comfortable programming in Python.

Benefits include flexible working arrangements, coaching, and 25 days of annual holiday. Eligible applicants for SC clearance are required.

Data Scientist Graduate β€” Hybrid & Learning Focus in Farnborough employer: QinetiQ

QinetiQ is an excellent employer for aspiring Data Scientists, offering a dynamic work culture that fosters innovation and collaboration in the heart of Farnborough or Malvern. With flexible working arrangements, comprehensive coaching, and generous annual leave, employees are empowered to grow their skills and advance their careers while contributing to meaningful projects in the data lifecycle.

QinetiQ

Contact Detail:

QinetiQ Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Scientist Graduate β€” Hybrid & Learning Focus in Farnborough

✨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

Prepare for those interviews! Brush up on your Python skills and be ready to discuss your projects. We want to show how our experience aligns with their data lifecycle and machine learning needs.

✨Tip Number 3

Don’t forget to showcase your passion for learning! QinetiQ values coaching, so let’s highlight our eagerness to grow and adapt in the ever-evolving field of data science.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match exactly what QinetiQ is looking for.

We think you need these skills to ace Data Scientist Graduate β€” Hybrid & Learning Focus in Farnborough

Data Lifecycle Management
Data Analysis
Machine Learning Techniques
Mathematics
Physics
Computer Science
Python Programming

Some tips for your application 🫑

Tailor Your CV:Make sure your CV highlights your skills in mathematics, physics, or computer science. We want to see how your background aligns with the Data Scientist role, so don’t be shy about showcasing relevant projects or experiences!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team at QinetiQ. Keep it engaging and personal – we love to see your personality come through.

Show Off Your Python Skills:Since programming in Python is key for this role, make sure to mention any relevant experience you have. If you've worked on projects or coursework that involved Python, let us know! We’re keen to see your coding prowess.

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. Plus, it shows us you’re serious about joining our team!

How to prepare for a job interview at QinetiQ

✨Know Your Data Science Basics

Make sure you brush up on your mathematics, physics, and computer science fundamentals. Be ready to discuss concepts like data collection, analysis, and machine learning techniques, as these will likely come up during the interview.

✨Show Off Your Python Skills

Since programming in Python is a key requirement, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding, so practice writing clean and efficient code beforehand.

✨Familiarise Yourself with QinetiQ

Research QinetiQ’s projects and values. Understanding their work in the defence and security sectors can help you tailor your answers and show genuine interest in the company, which can set you apart from other candidates.

✨Prepare Questions for Them

Interviews are a two-way street! Prepare thoughtful questions about the role, team dynamics, and opportunities for growth. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.