At
Agap2, we are looking for a
Principal Data Scientist
to join a strategic AI initiative in the
aerospace sector.
The role involves leading Data Science efforts, driving the development and production deployment of advanced AI solutions, and providing strong technical leadership to high-performing teams. You will work closely with the Chief AI Scientist and collaborate with international stakeholders.
Key Responsibilities:
Lead the Data Science team and ensure the quality, robustness, and business relevance of all deliverables.
Design, develop, and deploy scalable AI tools across multiple business domains.
Translate complex technical concepts into clear insights for non-technical stakeholders.
Collaborate closely with cross-functional teams and business leaders, including international travel when required.
Stay up to date with state-of-the-art AI methodologies to continuously improve solution effectiveness.
Requirements:
PhD in Data Science, Computer Science, Statistics, or a related field. 10+ years of experience in
Data Science/AI
with a proven track record leading impactful projects.
Strong background in
machine learning,
deep learning,
optimisation, and/or
generative AI.
Excellent communication skills and the ability to engage with senior stakeholders.
Experience in
AI governance,
quality assurance, and
responsible AI practices.
What working with us will offer you:
The chance to take part in challenging projects within a dynamic environment.
A stable position with a clear career development plan.
A permanent contract from day one.
Hybrid remote work format.
Versátil compensation and meal vouchers, among other benefits.
If you're interested in this opportunity and would like to know more, feel free to apply so we can get in touch, share all the details, and answer any questions you may have.
Agap2 is an equal opportunity employer.
We are committed to evaluating all applications based on skills, experience, and achievements. We encourage everyone to apply — all candidates will be treated fairly regardless of race, nationality, gender, age, disability, sexual orientation, gender identity, or any other characteristic.