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Senior Data Science Role at Cirium Propulsion Labs – Principal Data Scientist
About the Business
At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics, helping customers understand the past, present, and predict the future. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions, and more to accelerate their own digital transformation.
About Our Team
Propulsion Labs is Cirium’s innovation group, focused on tackling complex, high-impact problems in aviation analytics. We thrive in small, collaborative teams, balancing autonomy, learning, and inclusive collaboration as we explore ideas, test solutions, and scale products that deliver meaningful value to customers.
About the Role
As a Principal Data Scientist, you will be a senior individual contributor, driving technical leadership while shaping best practices across the data science community. You’ll partner with product, engineering, and business teams to design and deliver data-driven solutions. The role blends technical leadership, collaboration, and hands-on development to address pivotal challenges in aviation analytics.
Responsibilities
- Act as a technical authority in advanced analytics, machine learning, and generative AI, defining and refining scalable, robust solutions
- Offer thought leadership on emerging technologies and methodologies for aviation-specific applications
- Mentor and coach data scientists, fostering continuous learning and technical excellence
- Collaborate with product managers, engineers, and domain experts to ensure alignment between data science initiatives and business goals
- Translate complex technical insights into clear, actionable recommendations for stakeholders
- Demonstrate leadership by coding, modelling, and refining solutions first-hand
- Design, prototype, and validate cutting-edge approaches to high-impact use cases
- Partner with engineering teams to deploy models into production
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Requirements
Technical Experience
- Strong experience with large-scale, complex, real-world datasets, ideally within aviation or a related industry
- Expertise in data wrangling and feature engineering, and the ability to build resilient data pipelines
Advanced Analytics Proficiency
Select expertise from these domains, with a strong focus on at least one:
- Predictive modelling on tabular data
- Machine learning, including deep learning
- NLP (Natural Language Processing) and large language models
- Generative AI pipelines
- Simulations
- Graph-based models
- Time-series forecasting
- Geospatial modelling
- Causal inference
- Reinforcement learning
- Optimisation algorithms
- Anomaly detection
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Practical Deployment
Proven ability to deploy—or successfully partner with teams to deploy—customer-facing machine learning systems into production
Collaboration & Communication
- Experience collaborating across domains and translating complex technical concepts for non-technical audiences
- Commitment to fostering diverse, inclusive teams
Benefits
Your journey at Cirium is supported by our dedication to holistic well-being and career growth. Benefits vary by country—access yours. Learn more about our culture, accessibility efforts, and Candidate Privacy Policy, including our inclusive hiring practices.
(Note: Avoid scams. We never request money or personal banking details from applicants.)
Equity & Inclusion Statement An equal opportunity employer: qualified candidates will be considered without regard to race, color, creed, religion, sex, national origin, citizenship, disability, protected veteran status, age, marital status, sexual orientation, gender identity, or other legally protected characteristics.
USA Job Seekers: EEOC Know Your Rights.*
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