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For Companies At a Glance
- Tasks: Lead innovative data science projects and mentor a collaborative team.
- Company: Join Cirium, the leader in aviation analytics transforming the industry.
- Benefits: Enjoy generous holidays, health perks, and a competitive pension scheme.
- Other info: Dynamic environment with a focus on continuous learning and career growth.
- Why this job: Make a real impact in aviation with cutting-edge analytics and technology.
- Qualifications: Expertise in data science, machine learning, and hands-on coding experience.
The predicted salary is between 80000 - 100000 £ per year.
At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation.
Propulsion Labs is Cirium’s innovation group, focused on solving complex, high-impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.
Our Tech Stack
- Big Data: Databricks, AWS, Snowflake, Azure
- Programming: Python, SQL, PySpark
- Frameworks: PyTorch, LangChain
About the Role
As a Principal Data Scientist, you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data-driven solutions. We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real-world problems.
Responsibilities:
- Technical Leadership
- Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI.
- Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance.
- Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics.
- Mentorship & Collaboration
- Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence.
- Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives.
- Influence strategic decisions by translating complex technical insights into actionable recommendations.
- Hands-On Development
- Lead by example through hands-on coding and model development.
- Design, prototype, and validate innovative solutions for high-impact problems.
- Partner with engineering teams to deploy models into production environments.
- Domain Expertise
- Leverage deep knowledge of aviation, travel, or related industries to inform modelling approaches and deliver customer-centric solutions.
- Stay ahead of industry trends impacting data-driven products.
Requirements:
- Data Mastery
- Comfortable working with large, complex, real-world datasets, preferably aviation-related.
- Expertise in data wrangling, feature engineering, and scalable data pipelines.
- Outstanding Depth Experience: in at least one area, with experience across several (in approximate order of relevance):
- Predictive modelling over tabular data
- Deep Learning NLP + LLMs
- GenAI agent pipelines
- Simulations
- Graph-based models
- Time-series forecasting
- Geospatial modelling
- Causal inference
- Reinforcement learning
- Optimization problem and/or Anomaly detection.
- Deployment Experience
- Proven track record of deploying or partnering on customer-facing production ML systems.
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Principal Data Scientist employer: Cirium
Contact Detail:
Cirium Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the aviation analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to aviation. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with advanced analytics and machine learning. We want to see how your skills align with the role of Principal Data Scientist, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: Since this role is all about technical leadership, be sure to emphasise your expertise in Python, SQL, and any other tools from our tech stack. We love seeing hands-on experience, so include specific examples of your work with data pipelines or model development.
Highlight Collaboration Experience: Collaboration is key in our team, so share instances where you’ve worked closely with product managers or engineers. We’re looking for candidates who can translate complex insights into actionable recommendations, so make that clear in your application!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Cirium
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, SQL, and PySpark. Be ready to discuss how you've used these tools in past projects, especially in relation to big data and machine learning.
✨Showcase Your Domain Expertise
Since this role is focused on aviation analytics, brush up on industry trends and challenges. Prepare examples of how your experience can directly apply to solving real-world problems in aviation, demonstrating your understanding of the sector.
✨Prepare for Technical Leadership Questions
Expect questions about your approach to mentoring and leading teams. Think of specific instances where you’ve influenced best practices or guided junior data scientists, and be ready to share those stories.
✨Practice Problem-Solving Scenarios
Be prepared to tackle hypothetical scenarios related to complex modelling and design problems. Practising how you would approach these challenges will help you articulate your thought process clearly during the interview.