At a Glance
- Tasks: Lead data science initiatives and deliver impactful solutions for business decision-making.
- Company: Join British Airways, a pioneering airline with over 100 years of history.
- Benefits: Enjoy staff travel perks, competitive salary, and opportunities for personal growth.
- Other info: Be part of a diverse team committed to innovation and inclusion.
- Why this job: Make a real difference in the aviation industry with cutting-edge data science.
- Qualifications: Experience in data science and leadership, with strong analytical skills.
The predicted salary is between 75600 - 92400 £ per year.
A career without limits. As the nation’s flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It’s something we’ve been doing for over 100 years, ever since we launched the world’s first international scheduled air service between London and Paris. This originality has been in our blood since day one. It’s the spirit we share with the people that fly with us, our partners, and our colleagues.
The role: Principal Data Scientist - Finance & Transformation. As a senior leader within the Data & AI function, reporting to the Head of Data Delivery, the Principal Data Scientist is accountable for the end-to-end delivery and lifecycle management of high-value data science products or initiatives that support or automate decision-making across critical business areas. Operating within Agile cross-functional squads, they lead teams to scope, design, build, deploy and maintain scalable, production-ready solutions - including predictive models, optimisation engines, and decision-support tools - that integrate seamlessly with business processes and technical infrastructure.
The Principal Data Scientist delivers in line with the strategic direction for data science delivery, ensures model compliance and ethical responsibility, and drives continuous improvement in team capabilities and ways of working. They also line manage and coach others to achieve their full potential, fostering a culture of collaboration, innovation and impact.
What you’ll do:
- Manages and coaches data science teams to deliver a portfolio of data science products from scoping to delivery.
- Scopes and documents ill-defined client needs and frames data science solutions that align with business goals.
- Responsible for the quality and timely delivery of the data science products for an area of the business.
- Reporting on team key performance indicators.
- Acquires, processes and manipulates complex and large raw data to ensure high-quality inputs for models.
- Designs, builds and trains data science products such as business models, predictive analytics tools, recommender systems, natural language processing, anomaly detection, forecasts, optimisation models and decision support systems.
- Works with Digital teams to productionise models and deliver application front ends.
- Translates results into actionable recommendations.
- Provides guidance to stakeholders on how models created can improve business outcomes.
- Works within cross-functional business and Digital teams.
- Oversees management, improvements to and decommissioning of existing data science products for business area to ensure they are valuable, feasible and usable.
- Monitors industry trends and advancements in data science.
- Ensures adherence to published frameworks in team.
- Ensures model compliance & ethical responsibility in team.
- Ensures best practice is followed in their team.
- Line manages others to achieve full potential.
- Provides ad hoc team cover on an exceptional basis.
- Contributes to conversations on feature prioritisation and roadmap, with an understanding of the trade-off between speed vs. long-term value.
- Communicates feature and modelling approach, trade-offs, and results with the internal team and business stakeholders.
The Principal Data Scientist is also accountable for ways of working fit for an Agile cross-functional development squad, including:
- Using Git-versioning best practices for version control.
- Contributing and reviewing pull-requests and product / technical documentation.
- Giving input on prioritization, team process improvements, optimizing technology choices.
- Working independently and giving predictability on delivery timelines.
What you’ll bring to British Airways:
- Can structure ill-defined business problems and support others.
- Can communicate to large/senior groups.
- Can effectively challenge senior colleagues.
- Can build strong stakeholder relationship networks and set data science strategy.
- Can coach and manage a team.
- Leads scrum methodology and ceremonies.
- Able to independently manage products through the lifecycle & support others.
- Can prioritise own work.
- Can operate in multiple DevOps roles.
- Can lead others on a project.
- Can manage project teams effectively using agile principles and quality assurance.
- Can apply software engineering principles and concepts eg using Git and Python.
- Can build and deploy production ready machine learning pipelines eg using Python.
- Comprehensive cloud understanding.
- Comfortable designing user interface solutions for Machine Learning applications.
- Advanced data wrangling skills applicable to large data eg using SQL, Python.
- Can apply advanced spreadsheet modelling to complex problems eg using Excel.
- Able to apply a range of advanced machine learning and multivariate techniques.
- Proficient in use of Microsoft Office, including advanced Excel and Powerpoint.
Skills:
- Advanced analytical skills, including the ability to apply a range of data science and analytic techniques to quickly generate accurate business insights.
- Able to structure business and technical problems, identify trade-offs, and propose solutions.
- Communication of advanced technical concepts to audiences with varying levels of technical skills.
- Managing priorities and timelines to deliver features in a timely manner that meet business requirements.
- Collaborative team-working, giving and receiving feedback, and always seeking to improve team processes.
Your experience:
- Numerate degree or equivalent with data science components.
- Experience of leading others in applying data science to business problems.
- 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.
Principal Data Scientist - Finance & Transformation in Feltham employer: British Airways
British Airways is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of the aviation industry. As a Lead Product Data Scientist, you will have access to cutting-edge technology and significant opportunities for professional growth, all while contributing to impactful projects that enhance operational efficiency. With a commitment to employee development and a focus on delivering measurable business value, British Airways provides a rewarding environment for those looking to make a difference in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist - Finance & Transformation in Feltham
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Principal Data Scientist - Finance & Transformation in Feltham
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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.