Data Scientist

Heathrow Group; England; Hybrid; GBP 65,000 - 100,000; Full time

Job summary

Heathrow is seeking a Data Scientist to develop analytical models and data science solutions that improve airport operations and inform business decisions. You'll apply statistical methods, machine learning and data analysis to varied business challenges across Customer, Operations, Corporate and Technology, ensuring results are secure, well governed and deliver measurable value for the organization.

This role emphasizes collaboration with internal teams and suppliers to deliver impactful

Qualifications

• Applied experience of statistical modelling, machine learning and data science methods.
• Practical experience using Python or R, SQL and relevant cloud-based analytics tools.
• Ability to use data science methods to address business questions and produce measurable outcomes.
• Understanding of data governance, model risk, data protection and security requirements.
• Ability to explain technical information clearly to people with different levels of technical knowledge.
• A degree, equivalent learning or relevant practical experience in a quantitative subject.

Responsibilities

• Develop and maintain statistical, machine learning and predictive models that address business needs.
• Turn complex data into clear insights and practical recommendations for airport operations.
• Assess model performance, data quality and analytical bias, taking action where risks are identified.
• Prepare evidence for data science investment proposals, including expected benefits and measures of success.
• Work with internal teams and specialist suppliers to deliver effective solutions within agreed budgets and standards.

Skills

Statistical modelling

Machine learning

Data science methods

Python

R

SQL

Cloud analytics

Data governance

Data storytelling

Education

Quantitative degree

Tools

Python

R

SQL

Cloud services

Job description

As a Data Scientist at Heathrow, you’ll develop analytical models and data science solutions that improve airport operations and inform business decisions.

You’ll apply statistical methods, machine learning and data analysis to varied business challenges. Your work will help teams across Customer, Operations, Corporate and Technology make effective use of data. You’ll also help ensure solutions are secure, well governed and designed to deliver measurable value.

• Develop and maintain statistical, machine learning and predictive models that address business needs.
• Turn complex data into clear insights and practical recommendations for airport operations.
• Assess model performance, data quality and analytical bias, taking action where risks are identified.
• Prepare evidence for data science investment proposals, including expected benefits and measures of success.
• Work with internal teams and specialist suppliers to deliver effective solutions within agreed budgets and standards.

• Applied experience of statistical modelling, machine learning and data science methods.
• Practical experience using Python or R, SQL and relevant cloud-based analytics tools.
• Ability to use data science methods to address business questions and produce measurable outcomes.
• Understanding of data governance, model risk, data protection and security requirements.
• Ability to explain technical information clearly to people with different levels of technical knowledge.
• A degree, equivalent learning or relevant practical experience in a quantitative subject.

Desirable

• Experience of working with specialist data or analytics suppliers.
• Experience of delivering data science solutions in a complex organisation.

There’s something so special about working at the world’s most iconic airport. Its sights. Its sounds. Its constant air of excitement. Heathrow is an amazing backdrop to a career filled with unique opportunities.

Every day, you’ll discover a world full of fresh possibilities and end the day buzzing with stories to tell, as you encounter people from all cultures, nationalities and experiences. A world full of pride for what we do and no end of exciting career prospects to explore.

It brings out the best in all of us. And inspires everyone to deliver on our ambitious plans. Together, we’re working to welcome millions more passengers while ensuring aviation can continue to be a force for good by leading global efforts in sustainability.

Join us on that journey and we'll help you achieve your ambitions too. Supporting you to learn, encouraging you to be yourself, backing you to achieve more than you might ever have imagined. Because there’s no place like Heathrow.

Our rewards

We offer competitive salaries and excellent benefits that will support you now and in the future. As well as performance-based annual bonuses and our longer-term Share in Success Bonus plans, we also offer generous annual leave allowances and market-leading pensions. With family friendly policies, access to private health insurance and a wide range of wellbeing tools, we’ll support you to be at your best inside and outside work. And of course, we’ll provide varied learning and development opportunities too. Here you’ll find everything you need for a fulfilling career journey that can take you in exciting directions.

Working Location

Our Hybrid working approach offers the opportunity for colleagues in some roles to work from home for an average of two days a week, providing the flexibility to work in an agile way whilst ensuring we deliver for the operational needs of Heathrow. Working arrangements vary from team to team and will be confirmed during the recruitment process. You’ll need to be based in the UK and within a commutable distance to Heathrow.

Sustainable Travel to work

Heathrow’s Sustainable Travel Guide sets out easy and sustainable travel options that everyone can access.

Equal Opportunities

As an equal opportunities employer, we encourage applications from all. We believe that diverse talent makes us stronger - not least because we welcome passengers from all corners of the globe, every single day. Heathrow is an accessible place to work. With five diversity networks, we champion inclusivity and celebrate individuality.