Data Scientist

Safran
Cwmbran, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Computer Programming Data Visualization Python (Programming Language) Machine Learning Power BI Tensorflow SQL Databases Tableau (Software)
+5 more
Google Cloud Pytorch Scikit Learn Information Technology Machine Learning Operations

Requirements

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 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

Benefits & conditions

Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed to support you-both in and out of work, including:

  • Early finish on Fridays

  • Competitive salary and annual bonus and pay review

  • 25 days’ holiday + bank holidays

  • Strong Pension scheme and life assurance

  • Professional development, ongoing training, mentoring

  • Onsite amenities: parking, restaurant, bicycle storage, showers

  • Family-friendly and accessible workplace policies

About the company

Safran is an international high-technology group operating in the fields of aerospace (propulsion, equipment and interiors), 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. Safran holds, either independently or through partnerships, leading global or European positions in its markets.

Safran was ranked second in the Aerospace & Defense sector in TIME magazine’s ““World’s Best Companies 2025”” ranking.

With more than one million seats installed across the fleets of the world’s leading airlines, Safran Seats is one of the global leaders in passenger, crew, aircraft and helicopter seating, delivering innovative, high value-added solutions., Safran is a leading high-technology group, operating globally in aerospace, space, and defense. Our mission is to contribute sustainably to a safer, more comfortable, and accessible world of air transport. With 110,000 colleagues and over €31.3 billion in revenue in 2025, Safran holds key positions in its markets, ranked #2 in Aerospace & Defense by TIME magazine’s “World’s Best Companies 2025.”

Safran Seats is one of the world’s leaders in passenger, crew, aircraft and helicopter seating, delivering innovative, high value-added solutions to the fleets of leading airlines worldwide.

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 leading 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.

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