At a Glance
- Tasks: Transform raw data into valuable insights and develop impactful data-driven solutions.
- Company: Join Thales, a leader in innovative technology that improves lives daily.
- Benefits: Earn £24,000 a year, gain a fully funded degree, and enjoy a supportive learning environment.
- Other info: Enjoy a blend of on-campus and workplace learning with excellent career prospects.
- Why this job: Kickstart your career in data science while making a real difference in the world.
- Qualifications: GCSEs in Maths & English and A Level Maths required.
The predicted salary is between 56250 - 68750 £ per year.
Working alongside experienced data professionals, you will learn how to transform raw data into valuable business intelligence and help develop data-driven solutions that create measurable impact. Your responsibilities may include:
- Identifying business challenges and using data science techniques to recommend solutions.
- Collecting, preparing, cleansing, and analysing data from multiple sources.
- Supporting the development and testing of predictive models and analytical solutions.
- Working with data teams to create data products, dashboards, and insights used across the business.
- Evaluating model performance and supporting continuous improvement of analytical solutions.
Training: You will study towards a Level 6 Data Scientist Apprenticeship with The University of Nottingham. The programme is delivered over 42 months through a blend of:
- On-campus learning
- Online study
- Workplace-based learning
You will typically attend university for a minimum of 4 weeks each academic year, delivered in 1-week blocks. On successful completion of the programme and End Point Assessment, you will achieve:
- A fully funded BSc (Hons) Data Science degree
- A Level 6 Data Scientist Degree Apprenticeship qualification
What happens at the end: Will qualify and be a permanent member of the team within the Thales business.
Skills:
- Communication skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Administrative skills
- Number skills
- Analytical skills
- Logical
- Team working
Qualifications:
- GCSE 5 incl. Maths & English (grade A-C or 9-4) - essential
- A Level Maths (grade BBC) - essential
Key details:
- Wage: £24,000 a year
- Working week: Monday - Friday (8 hours Monday – Thursday, 5 hours Friday). Shifts TBC.
- Hours: 37 hours per week
- Duration: 3 Years 6 Months
- Start date: 2027-09-06
- Closing date: 2027-02-17
- Apprenticeship standard: Data scientist (integrated degree) (level 6)
- Training provider: UNIVERSITY OF NOTTINGHAM
About the employer: Together, we create the ingenious technological systems and innovations that impact and improve people's lives every single day. Even if you haven't heard the name Thales before, you've definitely benefited from our inventiveness. We reinvest 20% of our sales in Research & Development in the UK. Together we supply invention across 4 core areas: Aerospace, Space, Defence and Security, Digital Identity and Security.
2027 Data Science Apprentice - Crawley employer: Thales
Thales is an exceptional employer, offering a dynamic work environment in Glasgow where innovation meets collaboration. With a strong focus on employee development, competitive benefits including a performance-related bonus and generous leave policies, and a commitment to inclusivity, Thales empowers its employees to thrive while contributing to critical projects in the Sea sector. Join us to be part of a team that values your unique strengths and supports your professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land 2027 Data Science Apprentice - Crawley
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Thales!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like 2027 Data Science Apprentice - Crawley at Thales.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Thales.
✨Apply Directly through Our Website
When you find a suitable opening like 2027 Data Science Apprentice - Crawley at Thales, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace 2027 Data Science Apprentice - Crawley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Thales, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Thales. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Thales
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Thales!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
