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: Inclusive culture with opportunities for 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 required.
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. You can learn more about Cirium at www.cirium.com.
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, optimisation 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 by completing our Applicant Request Support Form or contact 1-855-833-5120.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, colour, 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 in London employer: Dormont Manufacturing Co
Cirium is an exceptional employer, offering a dynamic work environment where innovation thrives within the Propulsion Labs team. As a Principal Data Scientist, you will enjoy generous benefits, including a competitive pension scheme and wellbeing programs, while collaborating with talented professionals to drive meaningful change in aviation analytics. With a strong focus on mentorship and continuous learning, Cirium empowers its employees to grow and excel in their careers, making it a rewarding place to work.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist in London
✨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 might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects, especially those related to aviation analytics. This will help you stand out during interviews and showcase your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills, especially in Python and machine learning frameworks like PyTorch. You never know when a coding challenge might pop up during the interview process.
✨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 joining the Cirium team.
We think you need these skills to ace Principal Data Scientist in London
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data science shine through! Share specific examples of projects or experiences that highlight your love for tackling complex problems, especially in aviation analytics.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Principal Data Scientist role. Highlight relevant skills and experiences that align with the job description, particularly around advanced analytics and machine learning.
Be Clear and Concise:Keep your application clear and to the point. Use straightforward language to explain your technical expertise and how it relates to the role. Avoid jargon unless it's industry-specific and relevant!
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 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 and how they can be applied to aviation analytics.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved using data science techniques. Highlight your thought process, the methodologies you employed, and the impact of your solutions on previous projects.
✨Emphasise Collaboration and Mentorship
Since this role involves mentoring and collaboration, think of instances where you've successfully worked in teams or guided others. Be ready to discuss how you foster a culture of learning and technical excellence.
✨Stay Updated on Industry Trends
Research current trends in aviation analytics and machine learning. Being able to discuss recent advancements or challenges in the industry will show your passion and commitment to the field.
