Data Scientist

Jet2 Plc
West Yorkshire
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Government)

Data Scientist - Renewable Energy

Job Description:

As our new Data Scientist, you’ll be implementing the data science strategy and bringing together multiple large data sources for effective use across the business.  You’ll query and gain deep insights from the data giving the wider business the ability to act upon these.

As our Data Scientist, you’ll have access to a wide range of benefits including:
 

  • Hybrid working (we’re in the office 2 days per week)
  • Access to a generous discretionary profit share scheme
  • Many retail discounts on – travel and leisure, health, and wellbeing, eating out, shopping and lifestyle


AtJet2.comandJet2holidays we’re working together to deliver an amazing journey, literally! We work together to really drive forward a ‘Customer First’ ethos, creating unforgettable package holidays and flights. We couldn’t do it without our wonderful people.  

What you’ll be doing:
 

  • You’ll use machine learning and statistical modelling tools to generate customer, marketing, and commercial Insight, which in turn will inform marketing strategy, pricing & product development for the business.
  • You’ll identify efficiencies in the use of data across its lifecycle, reducing data redundancy, structuring data to ensure efficient use of time.
  • You’ll create algorithms and models to understand how changes in metrics in one area of the business impact other areas.


What you’ll have:
 

  • You’ll have experience in using R, Python or a similar statistical analysis package.
  • You’ll have strong SQL skills and the ability to create clear data visualisations in tools such as Tableau or Power BI.
  • You’ll have developed and deployed predictive models using machine learning frameworks and worked with big data technologies.
  • You’ll have experience in cleansing and enriching of data, you’ll be able to interpret business requirements in terms of data architecture, database technology and data model design.


Join us as we redefine travel experiences and create memories for millions of passengers. At Jet2.com and Jet2holidays, your potential has no limits. Apply today and let your career take flight! 

#LI-Hybrid
 

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.