Data Scientist

MAG (Airports Group); Manchester; On-site; GBP 52,000 - 72,000; Full time

Job summary

A leading company in airport solutions seeks a Data Scientist to join their centralized data team in Manchester. The role involves developing data models using cutting-edge tools like Databricks and AWS, with a focus on data-led innovation. Ideal candidates will have programming expertise in Python and PySpark, with a strong analytical mindset and experience in deploying machine learning pipelines.

Benefits

25 Days Holiday

10% Company Pension

Annual Bonus Scheme

2 Weeks Work From Anywhere

MediCash Programme

On-site Gym

Flexible Benefits & Discounts

Qualifications

• 2–5 years of experience in Data Science or related field.
• Strong programming skills in Python and PySpark.
• Experience deploying and maintaining ML pipelines within Databricks.

Responsibilities

• Develop models and data products that shape operational and commercial decisions.
• Work closely with Data Engineering, BI, and Analytics teams.

Skills

Python

PySpark

Analytical Skills

Tools

Databricks

AWS Data Services

CI/CD pipelines

Job description

A leading company in airport solutions is seeking a Data Scientist to join their centralized data team. This role involves developing data models and products that influence operational and commercial decisions, working with cutting-edge tools like Databricks and AWS. Ideal candidates will have strong programming skills in Python and PySpark, with a passion for data-led innovation.

25 Days Holiday

10% Company Pension

Annual Bonus Scheme

2 Weeks Work From Anywhere

MediCash Programme

On-site Gym

Flexible Benefits & Discounts

Qualifications

• 2–5 years of experience in Data Science or related field.
• Strong programming skills in Python and PySpark.
• Experience deploying and maintaining ML pipelines within Databricks.

Responsibilities

• Develop models and data products that shape operational and commercial decisions.
• Work closely with Data Engineering, BI, and Analytics teams.

Skills

Python

PySpark

Analytical Skills

Tools

Databricks

AWS Data Services

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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 andexciting 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.

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