At a Glance
- Tasks: Design and deploy advanced AI models to tackle complex challenges in aerospace.
- Company: Join Safran, a global leader in aerospace and defence with a mission for sustainable air transport.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career advancement.
- Why this job: Make a real impact in the aerospace industry while working with cutting-edge technology.
- Qualifications: Degree in Data Science or related field; strong Python programming skills required.
The predicted salary is between 63000 - 77000 £ per year.
Safran is an international high-technology group operating in the fields of aerospace, space and defense. Its mission is to contribute sustainably to a safer world, where air transport becomes ever more environmentally friendly, comfortable and accessible. Present on every continent, the Group employs 110,000 people and generated €31.3 billion in revenue in 2025.
We're currently looking for a passionate and innovative Data Scientist to join us in Cwmbran. As a Data Scientist, you'll play a pivotal role in designing and deploying advanced AI models that solve complex business challenges across Safran Seats. Collaborating with the AI Project Leader and cross-functional teams, you'll identify AI opportunities, define project requirements, and drive initiatives that push the boundaries of data-driven solutions in aerospace.
You'll leverage Python and machine learning frameworks to build scalable AI algorithms, process complex datasets, and create impactful reports and visualizations for stakeholders. Your expertise will ensure robust, compliant AI solutions that align with industry standards.
What You'll Bring:
- Essential:
- Degree in Data Science, Computer Science, Statistics, or a related field
- Excellent programming skills in Python; knowledge of R, SQL, or other languages is a plus
- Strong analytical and problem-solving mindset ideally focused on AI and machine learning
- Ability to communicate complex concepts to non-technical audiences
- Good project management skills, able to handle multiple projects concurrently
- Attention to detail and commitment to producing high-quality work
- Collaborative team player, committed to continuous improvement
- Desirable:
- Extensive experience with Python and machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
- Experience in developing and deploying machine learning models in production environments
- Experience with data visualization tools (Tableau, Power BI, or similar)
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) for AI model deployment
- Knowledge of aircraft design and development, including ergonomics and testing
- Understanding of aerospace industry regulations and standards
Data Scientist in Cwmbran employer: Safran UK
At Safran, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters diversity, innovation, and collaboration. As a Production Planning Apprentice in our Fareham facility, you will not only gain invaluable hands-on experience in a fast-paced manufacturing environment but also benefit from a comprehensive apprenticeship programme that supports your professional growth. With opportunities to engage in various employee forums and initiatives, you will be part of a community that values your contributions and encourages a sustainable future for all.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Cwmbran
✨Get Involved in Data Science Meetups
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✨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 Data Scientist at Safran UK.
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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 Safran UK.
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We think you need these skills to ace Data Scientist in Cwmbran
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 Safran UK, 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 Safran UK. 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 Safran UK
✨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 Safran UK!
✨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.
