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London, UK
Actively hiring, first seen by us todayEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Analyse Avios and cash combinations and support A/B tests on payment options
Forecast promotions and compare modelled bookings and spend with actual results
Produce weekly performance updates and explain what is driving changes
Check data quality and work with Data teams to resolve issues
Present recommendations to technical and non-technical audiences
Analyse different combinations of Avios and cash, suggest changes to customer payment options and support A/B tests
Model expected bookings, Avios spent and investment, then compare results with forecasts.
Produce weekly performance updates, develop new reports and improve existing ones.
identify quality issues and work with Data teams to resolve them
Present clear recommendations to both technical and non technical audiences
Strong SQL skills and experience extracting, analysing and validating large datasets from different sources.
Strong Excel skills for analysis, forecasting and scenario modelling.
Commercial thinking: you can explain why an analysis matters, what decision it informs and what action you recommend.
Clear communication and influencing skills: you can tell a story with data
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
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You’ll support the ways customers use Avios to book travel, working with airlines including British Airways, Iberia, Aer Lingus and Vueling, as well as British Airways Holidays. Your main focus will be on Avios redemption products, including Pay with Avios and Reward Flights, which enable customers to use their Avios towards flights and holidays. You’ll help inform how many Avios customers use, the cash saving they receive and the combinations they can choose from when booking. You’ll tackle questions with a clear commercial purpose: which payment options encourage bookings? What could a promotion deliver? Why has performance changed, and what should we do next? Using SQL and Excel for analysis and modelling, you’ll turn data into recommendations that support both day-to-day decisions and longer-term pricing strategies. You won’t simply hand over a report. You’ll work closely with commercial colleagues and airline partners to discuss your findings, recommend action and review the results. It’s an opportunity to build on your technical strengths, develop your commercial judgement and see how your analysis influences what happens next.
- Own reporting that informs decisions. Produce weekly performance updates, develop new reports and improve existing ones. Explain what is driving changes, considering customer behaviour and external factors alongside pricing activity. - Build expertise in the data. Use SQL and Excel to analyse customer and booking data, model scenarios and investigate commercial questions. Check that outputs make sense, identify quality issues and work with Data teams to resolve them. - Turn findings into action. Present clear recommendations to both technical and non technical audiences and work with Pricing, Product, Finance, Data, Data Science, Commercial colleagues and airline partners towards shared customer and commercial goals.
What you’ll bring - Strong SQL skills and experience extracting, analysing and validating large datasets from different sources. - Strong Excel skills for analysis, forecasting and scenario modelling.
- Strong SQL skills and experience extracting, analysing and validating large datasets from different sources. - Strong Excel skills for analysis, forecasting and scenario modelling. - Commercial thinking: you can explain why an analysis matters, what decision it informs and what action you recommend.
- A collaborative, adaptable approach: you build relationships across teams, understand colleagues’ needs and balance regular reporting with projects, experiments and campaigns. You don’t need a background in aviation, loyalty or pricing. We welcome candidates from other sectors who can demonstrate strong analytical fundamentals and connect their work to commercial outcomes, including those earlier in their careers. Familiarity with a visualisation tool such as Tableau or Power BI would also be useful. What you’ll get from the role
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Who we are 🌍
We’re IAG Loyalty, one organisation with two ambitious divisions across Loyalty and Holidays. Each has its own goals, strategy and team, but together we're united by a shared vision: to create a more rewarding world of travel and experiences.
Our Loyalty division is home to Avios, one of the world's leading travel rewards currencies. Millions of people collect Avios, then use them for rewards such as flights, cabin upgrades, hotel stays and other travel experiences.
Our Holidays division, including British Airways Holidays, connects customers to thousands of destinations worldwide through seamless, end-to-end travel experiences. We're on an exciting journey of growth and transformation, creating smarter ways to reward travellers and shape the future of loyalty.
The opportunity ✨
Turn data into decisions that shape how customers use Avios.
You’ll support the ways customers use Avios to book travel, working with airlines including British Airways, Iberia, Aer Lingus and Vueling, as well as British Airways Holidays. Your main focus will be on Avios redemption products, including Pay with Avios and Reward Flights, which enable customers to use their Avios towards flights and holidays. You’ll help inform how many Avios customers use, the cash saving they receive and the combinations they can choose from when booking.
You’ll tackle questions with a clear commercial purpose: which payment options encourage bookings? What could a promotion deliver? Why has performance changed, and what should we do next? Using SQL and Excel for analysis and modelling, you’ll turn data into recommendations that support both day-to-day decisions and longer-term pricing strategies.
You won’t simply hand over a report. You’ll work closely with commercial colleagues and airline partners to discuss your findings, recommend action and review the results. It’s an opportunity to build on your technical strengths, develop your commercial judgement and see how your analysis influences what happens next.
The work is varied: you’ll balance current performance tracking with forward-looking plans, and investigate the different factors behind changes in results. Success means producing reliable analysis, explaining differences between forecasts and actual performance, and helping colleagues decide what to do next.
What you’ll do
What you’ll bring
You don’t need a background in aviation, loyalty or pricing. We welcome candidates from other sectors who can demonstrate strong analytical fundamentals and connect their work to commercial outcomes, including those earlier in their careers. Familiarity with a visualisation tool such as Tableau or Power BI would also be useful.
What you’ll get from the role
The Blend 📍
This role is based in our London office in our Loyalty division.
We call our approach to hybrid working The Blend. It's about giving you the flexibility to choose where you do your best work while staying connected with your team and the wider business.
You'll spend at least two days each week in the office, with the rest of your time working from home. Depending on your role and priorities, you may also work from one of our other offices or partner locations.
Diversity and Inclusion
Our vision is to create a more rewarding world of travel and experiences. Delivering that requires diverse thinking and inclusive leadership.
We are committed to building a workplace where people feel they belong and are valued for their perspective. Inclusion drives better decisions, stronger performance and more innovative outcomes.
We actively encourage applications from people with different experiences and backgrounds, and are committed to ensuring our recruitment process is fair, inclusive and accessible.
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London, UK
This role is based in our London office in our Loyalty division. We call our approach to hybrid working The Blend. It's about giving you the flexibility to choose where you do your best work while staying connected with your team and the wider business. You'll spend at least two days each week in the office, with the rest of your time working from home. Depending on your role and priorities, you may also work from one of our other offices or partner locations.
No clear work-authorization passage found. Eligibility is unconfirmed.