Senior Data Scientist (Engineering Technologies)

Jet2.com
Leeds
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Engineer

Data Engineer

Data Science Consultant

Job Description:

We’re seeking aSenior Data Scientistto join ourJet2Data Science team, specifically to work with ourAirline Engineering teambased atLeeds Bradford International Airport.

OurSenior Data Scientist will be responsible for the delivery of key initiatives capable of realising significant value, combining insights gained from multiple large data sources with the contextual understanding and experience of our colleagues across the business.  This exciting new role focuses on driving innovation within our engineering and maintenance operations, playing a critical role in executing our engineering data and analytics strategy. 

You’ll join an established and growing team of Data Science professionals and be based within Engineering Technologies, who are leveraging the use of data-driven insights and innovative technologies to optimise our Engineering & Maintenance operations.  
 
As ourSenior Data Scientist, you’ll have access to a wide range of benefits including:
 

  • Hybrid working (we’re in the office 2 days per week)
  • Annual pay reviews       
  • Access to a generous discretionary profit share scheme

What you’ll be doing: 
 
You’ll be expected to work with cross-functional teams to identify areas where Data Science techniques can add significant value, collaborating with and enthusing our stakeholders. You will:  
 
  • Be embedded within the Engineering Technologies team, identifying and assessing opportunities for data-driven improvements in safety, efficiency, and cost management. 
  • Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations.
  • Take responsibility for delivering initiatives, adopt our Data Science ways of working, be able to break down initiatives into measurable tasks, and report progress and issues blocking progress. 
  • Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy. 
  • Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take for the business to realise value from that in our operations. 
  • Be committed to your personal and professional development, staying up to date with the latest trends and technologies in data science and engineering analytics 
  • Demonstrate awareness of and adherence to the appropriate regulatory and internal policy requirements. 
 
What you’ll have:

 
  • You’ll have demonstrable experience in delivering data science initiatives, from rapid prototyping to show proof of value through into production, and can detail experience in data preprocessing, feature engineering, and model evaluation.
  • You’ll have demonstrable application of realising operational value in a regulated industry would be highly preferable. 
  • You’ll be highly numerate with a statistical background, with strong expertise in Python essential. Exposure to ML Frameworks like Scikit Learn/TensorFlow/PyTorch would be beneficial.
  • You’ll have a deep understanding of data analytics technologies and an eagerness to explore new tools and techniques. Strong SQL skills are a must, with exposure to Snowflake desirable, and the ability to create clear data visualisations essential.
  • Experience with Palantir Foundry and its applications is desired but not essential.
  • Familiarity with cloud platforms available for data science and storage would also be desirable. 
  • You’ll appreciate the importance of data governance and how to assess and enhance data quality. 
  • You’ll preferably be knowledgeable or be interested in aerospace/airline engineering and maintenance principles, but not required.
  • You’ll show commitment to keeping your knowledge up to date through self-learning, and be supported with opportunities to complete courses, attend industry events, and obtain technical certifications. 

 
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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.