Senior Data Scientist (Engineering Technologies)

Jet2.com Limited; Leeds; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading airline is seeking a Senior Data Scientist to innovate within engineering operations, leveraging large data sources for value realization. Join an established team at Jet2, focusing on predictive analytics and data-driven solutions to enhance safety and efficiency, while benefitting from hybrid working and professional development opportunities.

Benefits

Hybrid working

Annual pay reviews

Generous discretionary profit share scheme

Qualifications

• Experience in delivering data science initiatives from prototyping to production.
• Expertise in Python and SQL, with statistical background.
• Understanding of data analytics technologies and eagerness to explore new tools.

Responsibilities

• Work with cross-functional teams to identify data-driven improvements.
• Develop and implement predictive analytics and NLP models.
• Ensure data integrity through design and implementation of data collection frameworks.

Skills

Data preprocessing

Feature engineering

Model evaluation

Python

Strong SQL skills

Data governance

Data visualisation

Storytelling

Tools

Scikit Learn

TensorFlow

PyTorch

Snowflake

Palantir Foundry

Job description

Senior Data Scientist (Engineering Technologies)

We’re seeking a Senior Data Scientist to join our Jet2 Data Science team, specifically to work with our Airline Engineering team based at Leeds Bradford International Airport.

Our Senior Data Scientistwill 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 our Senior 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 numeratewith astatistical 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, andthe 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. AtJet2.comandJet2holidays, your potential has no limits. Apply today and let your career take flight!

#LI-Hybrid