Senior Data Scientist

CAVU; Manchester; Hybrid; GBP 50,000 - 75,000; Full time

Job summary

A leading company in the airline and technology sector is seeking a Senior Data Scientist to join their centralized Data team. This role involves shaping the future of data science at CAVU, working on advanced analytics and machine learning projects. The ideal candidate will have strong programming skills in Python and PySpark, and experience with Databricks and AWS. This position offers opportunities for mentorship and skill development in a collaborative, hybrid work environment.

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 a closely related field.
• Strong programming skills in Python and PySpark.
• Hands-on experience with Databricks for deploying machine learning pipelines.

Responsibilities

• Design, build, and maintain scalable machine learning pipelines.
• Collaborate with data analysts and engineers to deliver reliable datasets.
• Mentor and support more junior colleagues.

Skills

Python

PySpark

Analytical Skills

Communication

Tools

Databricks

AWS

Job description

Join to apply for the Senior Data Scientist role at CAVU

Join to apply for the Senior Data Scientist role at 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 Senior Data Scientist is a vital part of the centralised Data team at CAVU, acting as a consultant for the diverse business areas we serve. You’ll play a key role in shaping the future of CAVU’s data science capability, accelerating the use of advanced analytics, and embedding data-driven decision making across the organisation.

As our new Senior Data Scientist, you’ll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies — with opportunities to work on NLP projects too.

You’ll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data Governance to solve problems and create scalable solutions that make a tangible difference.

What’s in it for you?

This is a brilliant opportunity to join CAVU’s Data team at a pivotal time in our digital and data transformation journey. You’ll work with cutting-edge tools and cloud technologies, contribute to innovative data science projects, and help shape how CAVU uses data science to power decision making and customer experiences.

You’ll have the freedom to bring your ideas to life, support and mentor others, and continuously develop your skills in a collaborative, hybrid working environment.

About You:

Role Responsibilities:

• Design, build, and maintain scalable machine learning pipelines using Python and PySpark.
• Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles.
• Collaborate with data analysts, engineers, and other scientists to deliver clean, reliable, and well-documented datasets.
• Develop and maintain CI/CD pipelines for testing, deployment, and delivery of data science solutions.
• Support data modelling and transformation for analytics and reporting needs.
• Contribute to continuous improvements in our data science practices, testing frameworks, and deployment processes.
• Mentor and support more junior colleagues, fostering a culture of learning and knowledge sharing.
• Scope out requirements and deliverables in an agile way, ensuring successful integration of outputs into business processes.
• 2–5 years of experience in data science or a closely related field.
• Strong programming skills in Python and PySpark.
• Solid data science modelling skills with a problem-solving mindset.
• Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences.
• Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines.
• Experience working with AWS data services and architectures.
• Good understanding of code versioning and CI/CD tools and practices.
• 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.

Did you know some people might be less likely to apply for a role unless they meet every single qualification? If you’re excited about this opportunity but your experience doesn’t perfectly match every requirement — we’d still love to hear from you.

If you require reasonable adjustments during the interview process, please contact us so we can accommodate your needs.

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Airlines and Aviation and Technology, Information and Internet

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