Qualifications

Candidates should possess a numerate degree or equivalent with significant components in data science or related fields. Proven experience in leading data science teams and applying advanced analytics to solve complex business problems is essential. Experience in developing and industrializing machine learning or data science software products is required, with a preference for candidates familiar with the transportation, airlines, or operations domains. Strong technical expertise in machine learning, natural language processing, data wrangling, and statistical modeling is necessary. Candidates should demonstrate proficiency in programming languages such as Python and SQL, cloud computing platforms, and version control systems like Git. Excellent communication skills are vital for translating technical concepts into actionable insights for diverse audiences. The ability to manage multiple projects simultaneously, prioritize effectively, and operate independently within an agile environment is also critical.

Responsibilities

• Managing and coaching data science teams to deliver a portfolio of high-impact products from ideation through to deployment
• Scoping ambiguous client needs, designing tailored data science solutions aligned with business goals, and ensuring the timely and quality delivery of these products
• Acquiring, processing, and manipulating large, complex datasets to provide high-quality inputs for models and analytics
• Developing various data science products such as predictive models, recommender systems, anomaly detection, and optimization tools
• Working closely with Digital teams to productionize models and develop user interfaces for machine learning applications
• Translating model outputs into clear, actionable recommendations and advising stakeholders on how these insights can enhance business outcomes
• Oversight of existing data science solutions, ensuring their continued value, feasibility, and usability
• Monitoring industry trends, maintaining compliance with ethical standards, and promoting best practices within the team
• Active participation in feature prioritization, roadmap planning, and contributing to the development of ways of working that support agile delivery
• Leading the adoption of software engineering principles, including version control, code reviews, and documentation, to ensure high-quality, maintainable solutions

Benefits

At British Airways, we value our employees and strive to provide a rewarding work environment. Our benefits extend beyond competitive salaries to include comprehensive travel perks, such as unlimited basic and premium standby tickets on British Airways flights. Employees also enjoy discounted 'Hotline' airfares for themselves and their loved ones. We prioritize personal and professional growth, encouraging our team members to explore new opportunities within the organization and develop their careers. Our inclusive culture promotes diversity and innovation, fostering an environment where everyone feels valued and empowered. We are committed to supporting work-life balance, offering flexible working arrangements and ongoing development programs to help employees reach their full potential.

Equal Opportunity

British Airways is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. Our commitment is to ensure that everyone has an equal chance to succeed and contribute to our shared success. We believe that a diverse workforce enhances our ability to innovate, serve our customers better, and reflect the communities we operate in. We welcome applications from individuals of all backgrounds and experiences who are eager to join us on our journey to become a better, more inclusive British Airways.