At a Glance
- Tasks: Develop and embed decision-support software using machine learning and optimisation techniques.
- Company: Join British Airways, a leader in the airline industry with a focus on innovation.
- Benefits: Enjoy staff travel perks, competitive salary, and opportunities for personal growth.
- Other info: Be part of a diverse team committed to continuous improvement and innovation.
- Why this job: Make a real impact by optimising operational decisions with cutting-edge technology.
- Qualifications: Master’s degree or 4+ years of relevant experience in data science or ML required.
The predicted salary is between 60000 - 80000 £ per year.
You’ll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads that build data‑driven decision‑support software. This area plays a critical role in improving operational performance by embedding advanced analytics, machine learning and optimisation into day‑to‑day operational decision‑making across the airline.
What you’ll do
- Develop and embed industrialised decision‑support software using machine learning and optimisation techniques
- Act as the technical owner of one or more modules within a production‑grade data science product
- Understand operational business problems end‑to‑end and identify opportunities to optimise decisions using decision‑support tooling
- Conduct analysis and visualisation to identify valuable opportunities and assess trade‑offs between design and feature options
- Drive modelling and technical approach decisions, balancing implementation speed, runtime performance, technical debt and business value
- Rapidly prototype advanced machine learning and optimisation models in Python
- Deliver production‑grade machine learning and optimisation modules using software engineering best practice
- Build robust data ingestion, cleaning and processing pipelines
- Contribute to software orchestration and cloud‑based CI/CD deployment
- Drive system design decisions alongside software architects
- Ensure robustness through logging, error handling and automated testing
- Harden algorithms against operational and data edge cases
- Quantify adoption and value capture of decision‑support products
- Engage with business stakeholders to gather requirements and feedback
- Contribute to feature prioritisation and roadmap discussions
- Support integration of products into operational business processes
- Communicate modelling approaches, trade‑offs and results clearly to stakeholders
- Mentor junior team members
- Contribute to agile ways of working including Git version control, code reviews and delivery predictability
What you’ll bring to British Airways
- Experience solving real‑world problems using applied machine learning, optimisation and operational research techniques
- Strong Python capability and experience with data science and optimisation libraries
- Experience delivering production‑quality data science software
- Familiarity with cloud platforms, CI/CD pipelines and modern orchestration tooling
- Strong software engineering discipline including testing, logging and version control
- Ability to structure complex business and technical problems and propose pragmatic solutions
- Confidence communicating advanced technical concepts to both technical and non‑technical audiences
- Systems‑thinking mindset with attention to detail
- Curious, proactive and resilient approach
- Collaborative working style with a strong focus on continuous improvement
- Commitment to delivering measurable business value
Your experience
- Master’s degree or greater in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required)
- 2+ years working on production ML or optimization software products at scale (required)
- Experience in developing industrialised software, especially data science or machine learning software products (required)
- Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred)
What we offer
We believe that all the people who work with us should feel valued for the part they play. It’s one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you’ll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You’ll also receive up to 30 discounted ‘Hotline’ airfares per year for yourself, friends, and family. At British Airways you’ll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don’t expect our people to either.
Inclusion & Diversity
At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we’re committed to creating a culture where everyone feels that they can be themselves. We’re looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.
Product Data Scientist in London employer: British Airways
At British Airways, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation thrives. As a Product Data Scientist, you'll enjoy unparalleled staff travel benefits, opportunities for professional growth across various business areas, and a commitment to inclusion and diversity that fosters a collaborative culture. Join us in shaping the future of air travel while making a meaningful impact through advanced analytics and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist in London
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We think you need these skills to ace Product Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at British Airways, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at British Airways. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at British Airways
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at British Airways!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
