Data Scientist, IAG Loyalty
2-3 days a week in office
To create the world’s most rewarding experiences through our loyalty programmes and holidays.
Be an early applicant
To create the world’s most rewarding experiences through our loyalty programmes and holidays.
1001+ employees
Be an early applicant
2-3 days a week in office
1001+ employees
Company mission
To create the world’s most rewarding experiences for our customers through loyalty programmes, new products and holidays
Role
Who you are
- We are aiming high, and we accept that it is unlikely that any one person will meet every aspect of the brief. Who you are is equally as important as what you have done or where you have worked. So even if you don't tick every box, or your experience is from a unique or varied background, we'd still love to hear from you!
- This role is ideal for someone who enjoys combining hands-on machine learning with exploratory analysis, data visualisation, and business problem-solving
- Strong experience developing and evaluating machine learning models (e.g. classification, regression and clustering), with a solid grounding in statistical techniques
- Proficient in Python and common data science libraries such as pandas and scikit-learn
- Experience working with structured data, ideally customer or transactional datasets
- Confident using SQL to query data and working with data warehouses
- Able to take problems from initial ideation through to solutions that deliver clear business outcomes
- Comfortable working across modelling, analysis and data visualisation
- Familiar with cloud platforms and data pipelines
- Highly analytical, with a focus on improving customer interactions through data
- Strong attention to detail and a clear commitment to data quality
- Proactive, adaptable and comfortable shifting focus to where the greatest impact can be made
- Curious mindset with a genuine desire to learn, improve and develop over time
- Interest in growing towards a more machine learning engineering–focused skill set
What the job involves
- We’re looking for a Data Scientist with a few years of industry experience to join our team working on customer data
- You’ll work closely with stakeholders to uncover meaningful insights, build predictive models, and help shape the future of our data and machine learning capabilities
- Through a strong understanding of customer data and business needs, you’ll turn complex datasets into clear, actionable insights that support decision-making and drive impact
- This is an opportunity to apply data science in a practical, outcomes-focused environment, where your work directly influences how data and ML are used to solve real business problems and create value
- You’ll develop, evaluate and deploy machine learning models to support customer engagement, retention, churn prediction, and cross-sell and up-sell use cases
- Alongside this, you’ll create clear and compelling visualisations and analytical outputs to communicate insights effectively to both technical and non-technical stakeholders
- Your work will span a range of projects, from hands-on data science and modelling to more analytical and self-serve initiatives
- You’ll work closely with engineers, analysts and business teams to translate business questions into practical data solutions, while maintaining high standards of data quality, validation and documentation throughout the delivery lifecycle
- You’ll also contribute to improving data science best practice, tooling and ways of working, and show a strong interest in developing your machine learning engineering skills, including model deployment, monitoring and scalability
Salary benchmarks
Our take
Customer rewards programmes are an effective way for businesses to foster customer loyalty. However, in order to have the best effect, these programmes must be well-managed, easy-to-use and offer real value to consumers. IAG Loyalty exists to help its clients deliver exactly that.
Founded as Airmiles in 1988, IAG Loyalty boasts over 30 years of experience in the loyalty space. Alongside designing customer loyalty programmes, it also offers management tools, tech solutions and data services to help businesses turn loyalty into growth.
An established presence in the sector, IAG Loyalty manages the British Airways Executive Club, Iberia Plus, Vueling Club, and the Aer Lingus AerClub. It continues to expand its partnerships, enabling consumers to spend their loyalty currency (Avios) at a wider range of establishments.
Steph
Company Specialist at Welcome to the Jungle
Company
Company benefits
- Unlimited standby and premium standby fares for you and your nominees on the BA network and partner airlines from day one! Plus discounts on BA flights and holidays from day one mean you're going to be very popular!
- From us to you as a new joiner, on your birthday, and when saying “Thank you” isn’t enough, you'll receive 500 points to your points pot. There's a holiday in those little thank yous!
- On joining IAG Loyalty, you become eligible for personal staff travel benefits with British Airways and other oneworld airlines.
- Annual leave starts at 26 days’ with the option to buy or sell 5 more and 2 paid days for charity work
- Our people can enjoy up to 20 days working in Europe a year! A great way to spark your passion for travel
- Private health and dental care: All the cover you need to keep yourself healthy and well.
- Bonus: Depending on company and individual performance, there’s a non-contractual bonus every year
- Our unique learning offer, 'Develop You', helps you take your career, and IAGL, to new heights!
Company values
- We bring passion to our work
- We have the courage to reimagine
- We focus on agility
- We excel in delivery
- We keep learning and stay curious
- We take belonging seriously
Company HQ
Victoria, London
Articles
Leadership
Adam Daniels
(CEO)Joined the company in 2018 as CCO, becoming CEO in 2020. Previously spent 26 years at British Airways in positions such as Head of UK Leisure Sales, Head of Global Revenue and ultimately CCO.
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