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Data Scientist

MAG
Manchester
2 weeks ago
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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 youre 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 youre 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, youll 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, youll 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. Youll 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?


Youll be joining a collaborative, supportive team with a real passion for data-led innovation. Its 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 youre excited about problem-solving, experimenting with new ideas, and delivering real business impact wed love to hear from you.

About you:

25 years of experience in Data Science or a related field



Strong programming skills inPythonandPySpark




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 withinDatabricks




Comfortable working withAWS data servicesand modern data architectures




Experience withCI/CD pipelinesand code versioning best practices


Preferred skills:


Familiarity withDatabricks Asset Bundles (DAB)for CI/CD and workflow orchestration




Experience withHarnessor 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 youre reading this and dont tick every box, please still make yourself known to us. Wed 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.

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