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 opportunities for personal and professional 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.
About the Business
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 to accelerate their own digital transformation.
About the Team
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 modelling 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 problems and/or anomaly detection.
- Deployment Experience: Proven track record of deploying or partnering on customer-facing production ML systems.
Benefits
- 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 know your well-being and happiness are key to a long and successful career. We are delighted to offer country-specific benefits. 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.
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: Dormont Manufacturing Co
Cirium is an exceptional employer, offering a dynamic work environment within the innovative Propulsion Labs team, where collaboration and autonomy are at the forefront. Employees benefit from generous holiday allowances, comprehensive health and wellbeing programs, and opportunities for professional growth through mentorship and hands-on development in cutting-edge aviation analytics. With a commitment to inclusivity and employee satisfaction, Cirium stands out as a leader in fostering a rewarding career path in the data science field.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Cirium on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best data science projects, especially those related to aviation analytics. When you get the chance, share these during interviews to demonstrate your expertise.
✨Tip Number 3
Be ready to discuss real-world applications of your work. Cirium values practical solutions, so think about how your past projects have made an impact and be prepared to talk about them in detail.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Cirium team.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Show Your Data Mastery:When you're writing your application, make sure to highlight your experience with large datasets and any specific projects you've worked on. We want to see how you've tackled complex data challenges, especially in aviation or related fields.
Be Specific About Your Skills:Don't just list your skills; give us examples of how you've used them in real-world scenarios. Whether it's predictive modelling or deploying ML systems, we love seeing concrete evidence of your expertise!
Emphasise Collaboration:Since this role involves working closely with product managers and engineers, share experiences where you've collaborated effectively. We value teamwork and want to know how you can contribute to our inclusive environment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!
How to prepare for a job interview at Dormont Manufacturing Co
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Databricks, AWS, and Python. Be ready to discuss how you've used these tools in past projects, especially in relation to data wrangling and model deployment.
✨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 best practices in data science and how you’ve influenced teams in the past. Think of specific instances where you’ve mentored others or led a project, and be ready to share your insights on emerging technologies.
✨Practice Hands-On Problem Solving
Be prepared to tackle a coding challenge or case study during the interview. Brush up on your coding skills in Python and SQL, and think through how you would approach designing and validating a model for a high-impact problem.
