Are you excited to apply advanced analytics and machine learning to real‑world aviation challenges?
Would you like to shape best practices and mentor others while remaining hands‑on with high‑impact data science work?
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 accelerate their own digital transformation.
About our Team
Propulsion Labs is Cirium’s innovation group, focused on solving complex, highimpact 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.
About the Role
As a Principal Data Scientist, you will be a senior individual contributor who brings deep technical expertise while shaping best practices across the data science community. You will work closely with partners across product, engineering, and the business to design and deliver data‑driven solutions. This role combines technical leadership, collaboration, and hands‑on development to solve complex, real‑world problems in aviation analytics.
Responsibilities
- Act as a technical authority for advanced analytics, machine learning, and generative AI, defining and evolving best practices for scalable and robust solutions
- Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics
- Mentor and coach data scientists, supporting continuous learning and technical excellence
- Collaborate with product managers, engineers, and domain experts to align data science initiatives with business goals
- Translate complex technical insights into clear, actionable recommendations for stakeholders
- Lead by example through hands‑on coding, modelling, and solution design
- Design, prototype, and validate innovative approaches to high‑impact problems
- Partner with engineering teams to deploy models into production environments
Requirements
- Strong experience working with large, complex, real‑world datasets, ideally in aviation or related industries
- Expertise in data wrangling, feature engineering, and building scalable data pipelines
- Deep expertise in at least one advanced analytics area, with experience across several of the following: predictive modelling on tabular data, deep learning, NLP and large language models, generative AI pipelines, simulations, graph‑based models, time‑series forecasting, geospatial modelling, causal inference, reinforcement learning, optimisation, or anomaly detection
- Proven experience deploying, or partnering to deploy, customer‑facing machine learning systems into production
- Ability to collaborate across disciplines and communicate technical concepts to non‑technical audiences
Risk benefit statement
Learn more about the LexisNexis Risk team and how we work here
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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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.
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Skills Required
- Strong experience with large, complex, real‑world datasets
- Expertise in data wrangling, feature engineering, and building scalable data pipelines
- Deep expertise in at least one advanced analytics area and experience across areas such as predictive modelling, deep learning, NLP/LLMs, generative AI pipelines, simulations, graph models, time‑series forecasting, geospatial modelling, causal inference, reinforcement learning, optimisation, or anomaly detection
- Proven experience deploying, or partnering to deploy, customer‑facing machine learning systems into production
- Ability to collaborate across disciplines and communicate technical concepts to non‑technical audiences
- Experience in aviation or related industries (ideal)
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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