Data Scientist

Central Parking
Manchester
7 months ago
Applications closed

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Data Scientist

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Details


CAVU


Data Scientist


Manchester / Hybrid


Permanent

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 CAVU


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


Formed from the union of MAGO, MAG USA and our network of direct-to-consumer brands — who together drive market-leading passenger spend for airports across the world — we’ve combined our resources to address evolving passenger needs today and exceed them tomorrow.


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


Our name is taken from the aviation meteorology term ‘Ceiling and Visibility Unlimited’, which designates the perfect flying condition. More than just a name, CAVU is our mindset. It represents all that we stand for: our proud aviation heritage, our drive to push boundaries, and our mission to create seamless, enjoyable travel experiences.


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


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.

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