At a Glance
- Tasks: Join a dynamic team to analyse data and develop machine learning solutions.
- Company: Innovative tech company focused on data science and engineering.
- Benefits: Competitive salary, flexible working, coaching, and 25 days holiday.
- Other info: Opportunities for professional growth and access to digital learning platforms.
- Why this job: Gain hands-on experience in data science and make a real impact.
- Qualifications: Degree in relevant fields and programming skills in Python or similar.
The predicted salary is between 33750 - 33750 € per year.
Our role is to ensure our customers gain the maximum advantage from their data. We are involved at all stages of the data lifecycle from the initial gathering and processing stage, through the analysis phase, leading to actionable outputs and advice. The Data Science and Engineering teams within Software Engineering, Communication Networks & Data Science (SECNDS) discipline consist of a mix of data scientists (exploring data sets and algorithms) and data engineers (building the infrastructure to capture and process the data). The team’s skills, however, are varied and cover a wide range of disciplines.
Our daily work involves applying both conventional and novel machine learning techniques to customer problems as appropriate to advise on and/or demonstrate the opportunities created through exploiting their data.
What will I be doing?
The team works across all data types, everything from numerical data to natural language processing and signals analysis through to imagery interpretation. Where necessary, we also collect or simulate data using mathematical models. A typical day will see our data science graduates working as part of small project teams. You will attend project meetings, be involved in data preparation, and apply the relevant machine learning or artificial intelligence techniques. You will be expected to code up solutions to support this work, and to integrate with the team’s coding best practices. You may occasionally be involved in stakeholder engagements or presentations, and you will often help with the report writing process. Your days can mix on‑site and home working, depending on the specific project’s data requirements.
In this role you will gain practical experience in the full end‑to‑end data pipeline from data collection, data wrangling and modelling through to generating conclusions and results. You will gain knowledge of statistical techniques such as supervised and unsupervised machine learning algorithms, develop programming skills in Python and for the Cloud, and general data analysis techniques. You will also gain soft skills such as planning, technical report writing, and presenting.
Academic Requirements
- Mathematics
- Physics
- Data Science/Machine Learning
- Computer Science
- Psychology
Additional Requirements
- Demonstrable good understanding of statistics (statistical analysis) and/or mathematical modelling
- Comfortable programming in at least one coding language e.g. Python, R, C++
- Some familiarity or experience with basic coding best practices e.g. version control and code quality
Beneficial
- Experience with any cloud computing platform
- Machine learning or data analysis project experience (through academia or personal projects)
- Evidence of soft skills, including examples of working in a team, technical communication (written or oral)
Security
Applicants must be eligible for SC clearance. Guidance about clearances can be found at www.gov.uk. Under immigration rules, Early Careers roles do not meet the legal threshold for candidates who are resident in the UK on student visas.
Benefits
- On demand learning, access to courses, modules, and lectures via multiple digital learning platforms
- Coaching and Mentoring
- 25 days annual holiday excluding bank holiday
- Matched contribution pension scheme, with life assurance
- Flexible Benefits package
- Employee discount portal
- Employee Assistance Programme
- Employee-led networks
Data Scientist Graduate, Farnborough or Malvern employer: QinetiQ
As a Data Scientist Graduate at our company, you will be part of a dynamic team in Farnborough or Malvern, where innovation meets collaboration. We offer a supportive work culture that prioritises employee growth through on-demand learning and mentoring, alongside a flexible benefits package that enhances work-life balance. Join us to gain hands-on experience in the data lifecycle while contributing to meaningful projects that leverage cutting-edge machine learning techniques.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Graduate, Farnborough or Malvern
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by practising common data science questions and coding challenges. We recommend setting up mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Show off your projects! Whether it’s a personal project or something from uni, having a portfolio of your work can really impress interviewers. Make sure to highlight your problem-solving skills and the impact of your work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest roles and updates there.
We think you need these skills to ace Data Scientist Graduate, Farnborough or Malvern
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist Graduate role. Highlight relevant skills like programming in Python and any experience with machine learning or data analysis projects. We want to see how your background fits with what we do!
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. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Soft Skills:Don’t forget to highlight your soft skills! We value teamwork, communication, and planning abilities just as much as technical skills. Share examples of how you've worked in teams or presented findings in the past.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at QinetiQ
✨Know Your Data
Make sure you brush up on your understanding of data types and statistical techniques. Familiarise yourself with machine learning algorithms, especially supervised and unsupervised ones, as these are key to the role. Being able to discuss how you've applied these concepts in projects will impress the interviewers.
✨Show Off Your Coding Skills
Since coding is a big part of this job, be prepared to talk about your experience with programming languages like Python or R. Bring examples of your work, whether from academic projects or personal endeavours, and be ready to discuss coding best practices like version control.
✨Prepare for Team Dynamics
This role involves working in small project teams, so highlight your teamwork skills. Think of specific examples where you've collaborated effectively, whether in university projects or other settings. This will show that you can integrate well into their team environment.
✨Practice Your Presentation Skills
You might be involved in stakeholder engagements or presentations, so practice explaining complex data concepts in simple terms. Prepare a short presentation on a data project you've worked on, focusing on your findings and how they could benefit a client. This will demonstrate your communication skills and ability to convey technical information.
