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About The Company
We IAG Loyalty are a dynamic organization comprising two ambitious and expanding divisions: Loyalty and Holidays. Each division operates with its own goals, strategies, and dedicated teams, yet both are united by a shared vision to create a more rewarding world of travel and experiences. Our Loyalty division is renowned for managing Avios, the global loyalty currency that enables millions of members to earn and redeem rewards across various sectors including travel, retail, and financial services. The Holidays division brings together trusted brands such as British Airways Holidays and Iberia Vacaciones, connecting customers to thousands of destinations worldwide through seamless, end-to-end travel experiences. As we embark on an exciting journey of growth and transformation, we are committed to innovation, excellence, and delivering value to our customers and stakeholders.
About The Role
We are seeking a highly skilled and commercially minded Data Science Lead to join our Data Products Leadership Team. This pivotal role offers an excellent opportunity to shape the future of Data Science within IAG Loyalty by leading a talented team of Data Scientists. The successful candidate will be responsible for developing and deploying advanced machine learning models that generate measurable business value. The role involves a blend of technical leadership and strategic influence, working closely with cross-functional teams including Product Owners, Engineers, Analysts, and senior business stakeholders across Commercial, Marketing, Customer, Finance, and Digital domains. The primary focus is on translating complex business challenges into high-impact data science solutions that enhance customer engagement, improve profitability, and optimize the way members earn and spend Avios. Success in this role is determined by the tangible commercial outcomes delivered through innovative data-driven strategies and solutions.
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Qualifications
- Proven experience in delivering data science solutions that create measurable commercial value.
- Strong proficiency in Python and SQL for developing production-ready machine learning models.
- Experience with customer, marketing, or commercial data science use cases such as recommendation systems, experimentation, pricing, propensity modeling, or uplift modeling.
- Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Demonstrated leadership, coaching, or mentoring experience with data science teams.
- Knowledge of cloud-based machine learning platforms, MLOps, LLMs, or AI technologies is advantageous.
- Ability to prioritize tasks based on business impact, strategic importance, and technical complexity.
- Strong problem-solving skills with a focus on delivering end-to-end solutions.
- Experience working in fast-paced environments that value rapid iteration and continuous learning.
- Degree in Computer Science, Data Science, Statistics, or a related quantitative field is preferred.
Responsibilities
- Lead and inspire a team of Data Scientists, fostering a collaborative and innovative environment.
- Remain hands-on in designing, developing, and deploying machine learning solutions that address key business challenges.
- Set technical standards, review models, and ensure best practices in data science methodologies.
- Collaborate with Product Owners, Engineers, Analysts, and stakeholders to identify high-value opportunities for data science applications.
- Translate complex business problems into actionable data science use cases with clear success metrics.
- Prioritize and manage a data science backlog aligned with strategic business goals.
- Champion experimentation, continuous learning, and responsible AI principles within the team and organization.
- Contribute to shaping the Data Science roadmap and influence the strategic direction of data-driven initiatives.
- Ensure solutions deliver measurable commercial impact, including improvements in customer engagement, profitability, and operational efficiency.
- Stay abreast of emerging technologies and incorporate innovative techniques to maintain competitive advantage.
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Benefits
- Competitive salary package commensurate with experience.
- Flexible hybrid working model with at least two days per week in the London office.
- Opportunities for professional development and continuous learning.
- Access to cutting-edge tools and technologies in data science and AI.
- Collaborative and inclusive work environment that values diversity.
- Participation in innovative projects that influence the future of travel and loyalty experiences.
- Generous holiday allowances and employee wellness programs.
Equal Opportunity
We are an equal opportunity employer committed to fostering an inclusive environment for all employees. We value diversity and are dedicated to providing fair and accessible recruitment processes. Applications from individuals of all backgrounds, experiences, and perspectives are encouraged, and we ensure that every candidate is considered based on merit. Our goal is to create a workplace where everyone feels valued, respected, and empowered to contribute their best.
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