Data Scientist

CAVU

Data Scientist

Manchester / Hybrid

Permanent

About CAVU?

For airports, for partners, for people. We are CAVU.

At CAVU our purpose is to find new and better ways to make airport travel seamless and enjoyable for everybody. From the smallest ideas to the biggest changes. Every day here is about creating better travel experiences.

From our revenue-accelerating single platform technology, Propel, through to our world-class hospitality venues including 1903 and Escape Lounges — our solutions make travel more seamless and enjoyable for passengers, and more profitable for our clients and partners.

We know that to bring your best ideas, you need the space to think, the right support, and the freedom to be your true, authentic self.

Whether you’re working from our offices, from home, in a lounge, or out on the road, we provide the environment to create, innovate, and transform airport travel.

If you’re looking for a career where you can make a real impact, bring new ideas to life, and push boundaries, then CAVU is the place for you.

Together, we can reach new heights. Together, we are CAVU.

What's the role:

The Data Scientist role at CAVU is an exciting opportunity to be at the forefront of our data-driven transformation. Sitting within our centralised data team, you’ll act as an internal consultant across multiple business areas, developing models and data products that shape both operational and commercial decisions.

As a key member of the Data Science function, you’ll work closely with specialists in Data Engineering, BI, Analytics, and Data Governance to solve new and exciting problems — from customer personalisation models to forecasting and NLP use cases. You’ll help productionise scalable machine learning pipelines, support automation, and drive continuous improvements in our data science practices.

This is a fantastic opportunity for a curious, solutions-focused data scientist to help build out our capability, working with cutting-edge tools like Databricks, AWS data services, PySpark, and CI/CD pipelines.

What's in it for you?

You’ll be joining a collaborative, supportive team with a real passion for data-led innovation. It’s a chance to help shape the future of data science at CAVU, contribute to best-in-class products, and see your work directly influence how we serve customers and partners around the world.

If you’re excited about problem-solving, experimenting with new ideas, and delivering real business impact — we’d love to hear from you.

About you:

• 2–5 years of experience in Data Science or a related field

• Strong programming skills in Python and PySpark

• Strong data science modelling skills across classification, regression, forecasting, and/or NLP

• Analytical mindset with the ability to present insights to both technical and non-technical audiences

• Experience deploying and maintaining ML pipelines within Databricks

• Comfortable working with AWS data services and modern data architectures

• Experience with CI/CD pipelines and code versioning best practices

Preferred skills:

• Familiarity with Databricks Asset Bundles (DAB) for CI/CD and workflow orchestration

• Experience with Harness or similar deployment automation platforms

The Perks

• 25 Days Holiday, with the option to buy up to 10 more, plus 4 flexible bank holidays

• 10% Company Pension

• Annual Bonus Scheme

• 2 Weeks Work From Anywhere

• MediCash Programme

• On-site Gym

• A Host of Flexible Benefits & Discounts

ED&I at CAVU

We are an equal opportunities employer. We do not discriminate based on religion, race, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We also understand that some demographics may be less likely to apply unless they meet every single requirement listed. If you’re reading this and don’t tick every box, please still make yourself known to us. We’d love to hear from you.

If you require reasonable adjustments to participate in the interview process, please contact us to request assistance

Are you ready to reach new heights? Apply via the link.