Sr Staff Data Scientist at GE Aerospace
United Kingdom
Posted
on-site · full time · Visa sponsorship
Apply for this role at GE Aerospace
Responsibilities:
- Lead and/or coordinate cross‑functional teams to design and deliver AI/ML and advanced analytics solutions that provide measurable business value.
- Rapidly translate customer requirements into pragmatic prototypes and production‑ready solutions, engaging stakeholders throughout the lifecycle.
- Design and implement model validation, reproducibility checks and deployment criteria; ensure solutions integrate with existing IT/data systems.
- Develop maintainable, production‑quality code and apply version control best practices (Git/GitHub).
- Combine advanced modelling techniques, pre‑trained models and simulations where appropriate to improve outcomes.
- Champion FLIGHT DECK fundamentals, Lean methods (Kaizen, VSM, gemba) and continuous improvement across projects.
- Mentor and guide junior data scientists; review work, set standards and drive technical growth in the team.
- Communicate complex technical concepts clearly to a broad range of stakeholders and influence decision making.
- Identify new technologies and approaches, pilot proofs of concept and scale successful solutions.
Requirements:
- Extensive experience (senior/lead level) in applied data science, advanced analytics or ML engineering.
- Strong Python scripting and software development skills; proven use of version control (Git/GitHub) and coding standards.
- Experience with analytics development platforms and deployed analytics architectures, including model management and deployment frameworks.
- Demonstrated ability to define and execute model validation, reproducibility and operationalisation criteria.
- Experience integrating models with simulations or other domain models and applying advanced modelling techniques.
- Track record of delivering customer‑facing solutions quickly and translating analytic output to real‑world outcomes.
- Leadership experience: mentoring, influencing stakeholders and driving change across teams.
- Comfortable working in ambiguous contexts and able to focus teams on high‑value outcomes.
- Ability to obtain and maintain required UK security clearance and work on site in Gloucester.