Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us as a Data Scientist to optimise flight routes and enhance air traffic management.
- Company: We're a leading IT provider in the air transport industry, revolutionising air travel technology.
- Benefits: Enjoy flexible working options and the chance to work on impactful aviation projects.
- Why this job: Be part of a dynamic team improving air travel efficiency and sustainability through data-driven solutions.
- Qualifications: Experience with Python, large-scale data pipelines, and a passion for aviation is essential.
- Other info: This is a contract role perfect for tech-savvy individuals eager to make a difference.
The predicted salary is between 36000 - 60000 £ per year.
My client is the air transport industry's IT provider, delivering solutions for airlines, airports, aircraft, and governments. Their technology powers more seamless, safe, and sustainable air travel.
We are looking for a Data Scientist with expertise in Python and aviation operations to work on historical and real-time data-driven solutions for optimizing flight routes, fuel efficiency, and airspace management. The ideal candidate will have a strong understanding of flight operations, airspace usage, and live air traffic data, with the ability to analyze, optimize, and reverse engineer algorithms for better decision-making. This role involves working with live traffic feeds, integrating them into optimization models, and leveraging SWIM, TASAR, NASCENT, and DWR data to improve airspace efficiency and flight operations.
Key Duties:
- Reverse engineer and refine existing algorithms (preferably within Aviation).
- Analyze and process live air traffic data to improve flight routing and operational efficiency.
- Work with large-scale aviation datasets, integrating historical and live traffic feeds to enhance predictive modeling.
- Develop optimization algorithms that consider dynamic factors such as weather, congestion, and air traffic flow.
- Design and implement machine learning and statistical models for predictive air traffic management.
- Collaborate with other data scientists, air traffic controllers, and software engineers to integrate live traffic data into operational tools.
What we are looking for:
- Experience handling large-scale data pipelines and ETL processes.
- Ability to analyze, reverse engineer, and optimize algorithms for real-time applications.
- Understanding of air traffic management systems and aviation data sources like SWIM, TASAR, NASCENT, and DWR.
- Strong problem-solving and analytical skills, with a focus on real-world aviation challenges.
Nice to have skills:
- Utilize SWIM, TASAR, NASCENT, and DWR data sources to inform decision-making in airspace and route planning.
- Background in aerospace engineering, air traffic management, or flight operations.
- Knowledge of route optimization and fuel efficiency algorithms.
- Hands-on experience with real-time data ingestion frameworks (Kafka, Spark Streaming, or similar).
- Knowledge of weather impact analysis on air traffic and flight planning.
- Experience working with live air traffic data and real-time decision-making systems.
- Strong background in aviation operations, flight planning, and airspace management in the USA or internationally.
Data Scientist employer: psd group
Contact Detail:
psd group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific aviation data sources mentioned in the job description, such as SWIM, TASAR, NASCENT, and DWR. Understanding how these systems work and their applications in air traffic management will give you a significant edge during interviews.
✨Tip Number 2
Engage with online communities or forums related to aviation data science. Networking with professionals in the field can provide insights into current trends and challenges, which you can discuss during your interview to demonstrate your passion and knowledge.
✨Tip Number 3
Consider working on personal projects that involve real-time data analysis or optimisation algorithms relevant to aviation. Showcasing these projects in discussions can highlight your practical skills and problem-solving abilities, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss your experience with large-scale data pipelines and ETL processes. Be ready to explain how you've handled similar challenges in past roles, as this will demonstrate your capability to manage the complexities of aviation data effectively.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, data analysis, and any relevant aviation operations knowledge. Use specific examples that demonstrate your ability to handle large-scale data and optimize algorithms.
Craft a Compelling Cover Letter: In your cover letter, express your passion for aviation and data science. Mention how your skills align with the company's mission to improve air travel efficiency and safety. Be sure to reference specific technologies and methodologies mentioned in the job description.
Showcase Relevant Projects: If you have worked on projects involving air traffic management or similar fields, include them in your application. Describe your role, the challenges faced, and the outcomes achieved, particularly focusing on any optimization algorithms you developed.
Highlight Problem-Solving Skills: Emphasise your analytical and problem-solving abilities in your application. Provide examples of how you've tackled real-world challenges in data science, especially those related to aviation or real-time data processing.
How to prepare for a job interview at psd group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant libraries or frameworks you've used in data science. Highlight specific projects where you've optimised algorithms or worked with large-scale datasets, especially in aviation.
✨Understand Aviation Operations
Familiarise yourself with key concepts in flight operations and air traffic management. Be ready to explain how you would apply your analytical skills to real-world aviation challenges, such as improving fuel efficiency or optimising flight routes.
✨Demonstrate Problem-Solving Abilities
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach analysing live air traffic data or developing optimisation algorithms under dynamic conditions like weather changes or congestion.
✨Collaborative Mindset
Emphasise your ability to work in a team, especially with other data scientists and engineers. Share examples of past collaborations and how you integrated different data sources into operational tools, showcasing your communication skills.
