Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of machine learning tools for a major airline's operations.
- Company: Join a diverse and innovative team at DiverseJobsMatter.
- Benefits: Enjoy unlimited standby flights and discounted fares, plus career growth opportunities.
- Why this job: Shape the future of data-driven decision-making in the aviation industry.
- Qualifications: Expertise in Python and machine learning with 4-6 years of experience required.
- Other info: Inclusive culture that values diversity and fosters collaboration.
The predicted salary is between 52000 - 78000 £ per year.
Location: Heathrow Airport (LHR), Hounslow, UK
Contract Type: Full-time
Overview
Our client is seeking a Principal Data Scientist to join their Operations Decision Support (ODS) team. This leadership role combines full-stack data science capabilities with strategic delivery, developing production-ready machine learning and optimisation tools that directly support operational decisions across a major airline environment.
Key Responsibilities
- Lead the end-to-end development of machine learning and optimisation modules embedded in real-world decision-support software.
- Collaborate with software engineers and product teams to operationalise models using modern development practices.
- Design and manage data cleaning pipelines and orchestrate workflows (e.g., Dagster) within cloud CI/CD frameworks.
- Make critical system and modelling architecture decisions to balance scalability, complexity, and business impact.
- Engage with business stakeholders to understand operational problems and integrate data products into workflows.
- Conduct exploratory analysis and visualisation to support insight generation and value quantification.
- Clearly articulate technical decisions and modelling outcomes to technical and non-technical audiences.
- Mentor junior data scientists, promoting technical excellence and agile collaboration.
Candidate Profile
Required Skills and Experience:
- Expert-level fluency in Python, with experience in libraries such as scikit-learn, pandas, numpy, and Gurobi.
- Deep understanding of machine learning and operational research techniques (supervised, unsupervised learning, optimisation).
- Proven ability to deploy production-grade solutions with practices such as unit testing, CI/CD (GitHub Actions), containerisation (Docker), and orchestration tools (Airflow, Dagster).
- Skilled in SQL and cloud platforms (AWS preferred), and familiar with tools like DVC, MLflow.
- Experience in delivering industrialised data science products at scale.
- Strong communication skills with a proven ability to influence across technical and business domains.
Qualifications:
- Master’s degree (or above) in Data Science, Machine Learning, Operational Research, or a related field.
- Minimum 4–6 years’ experience in developing and deploying ML/optimisation products.
- Domain experience in transport, operations, or network optimisation is advantageous.
Generous travel benefits, including unlimited standby flights and up to 30 discounted fares annually. Career progression opportunities within a dynamic and growing technology function. Supportive culture fostering collaboration, innovation, and development.
Inclusion and Diversity
Our client values diversity as a driver of innovation and is committed to fostering an inclusive environment. Applications are encouraged from individuals of all backgrounds. Inclusive recruitment practices and employee networks support equal participation across all areas of the business.
Application Process
Interested candidates are encouraged to apply promptly via the application link in the job posting. The role offers the opportunity to shape the future of data-powered decision-making in the aviation industry.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology, Analyst, and Research
Industries
Research Services, Data Infrastructure and Analytics, and Airlines and Aviation
Senior Data Scientist in London employer: DiverseJobsMatter
Contact Detail:
DiverseJobsMatter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at your dream company. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving machine learning and optimisation. Share it on platforms like GitHub to let potential employers see your work in action.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to data science. Be ready to explain your thought process and how you tackle problems. Remember, they want to see how you think, not just what you know!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing passionate candidates who are eager to join our team!
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with Python, machine learning, and any relevant projects that showcase your skills in data science and optimisation.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've led data science projects and collaborated with teams to deliver impactful solutions.
Showcase Your Communication Skills: Since you'll be engaging with both technical and non-technical audiences, demonstrate your ability to communicate complex ideas clearly in your application. Use straightforward language and avoid jargon where possible.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and helps us keep track of all candidates efficiently.
How to prepare for a job interview at DiverseJobsMatter
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the libraries mentioned in the job description, like scikit-learn and pandas. Brush up on your machine learning techniques and be ready to discuss how you've applied them in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working with software engineers and product teams, prepare examples of past collaborations. Highlight how you’ve successfully integrated data products into workflows and communicated technical concepts to non-technical stakeholders.
✨Prepare for Technical Questions
Expect questions about deploying production-grade solutions and using CI/CD practices. Be ready to explain your experience with tools like Docker and orchestration tools like Airflow or Dagster, as these are crucial for the role.
✨Demonstrate Leadership and Mentorship
As a senior position, they’ll want to see your ability to mentor junior data scientists. Think of specific instances where you’ve guided others or promoted technical excellence within a team, and be prepared to share those stories.