Job Description - Lead Data Scientist (15928) LeadData Scientist ( 15928 ) Lead Data Scientist Luton Hybrid About Us:When it comes to innovation and achievement there are feworganisations with a better track record. Join us and you’ll beable to play a big part in the success of our highly successful,fast-paced business that opens up Europe so people can exercisetheir get-up-and-go. With over 347 aircraft flying over 1099 routesto more than 35 countries, we’re the UK’s largest airline, thefourth largest in Europe and the tenth largest in the world. Flyingover 90 million passengers a year, we employ over 16,000 people.Its big-scale stuff and we’re still growing . Role Overview: AteasyJet, we are committed to becoming a leading data-driven airlinewith the ambitious goal of achieving a mid-term target of £1billion in profit. Joining our Data Analytics & Intelligence(DA&I) team means you will play a pivotal role in enablingrobust and scalable data science solutions that will unlocksignificant revenue and cost-saving opportunities. We are seeking aLead Data Scientist to backfill a critical position within ourteam. This role focuses on the training and enablement of datascience operating models, best practices, and the machine learninglifecycle across data science functions. · Previous experience intraining and enablement of data science operating models, bestpractice, ways of working and machine learning lifecycle on datascience · Focusing on process and ways of working, industry bestpractice and willing to jump right in and help with development ofnew ways of working, training and best practice · You’ll have anInnovative mindset: constantly seeks new approaches andtechnologies to improve data science practices and outputs · Theability to be able to design and provide training KeyResponsibilities: • Develop and optimise machine learning modulesensuring their successful deployment. • Foster a culture of bestpractices in data science processes and ways of working. •Collaborate closely with federated Data Science teams, providingoccasional support. • Engage with key stakeholders across variousteams to drive data initiatives. • Design and deliver training toenhance data literacy and capabilities within the team.Requirements of the Role • Experience in a commercial environment,with a strong background in Python, SQL, and preferably PySpark. •Comprehensive understanding of the data science product lifecycle,from development to production. • Proven ability in buildingrelationships, ownership, delivery, and developing talent. •Excellent communication skills, able to simplify complex conceptsand influence without authority. • A collaborative spirit, valuingcollective success over individual achievements. • Expertise inPython, PySpark, SQL. • Strong experience in building andoptimising machine learning models. • Demonstrated ability to leadinitiatives and projects with minimal supervision · Competitivebase salary · Up to 30% bonus · BAYE, SAYE & Performance shareschemes · Flexible benefits package · Excellent staff travelbenefits Why Join Us? • Opportunity to work in a supportiveenvironment under a leadership style that promotes trust, autonomy,and accountability. • Be part of a new team structure with theopportunity to shape the future of data science at easyJet. •Contribute to a significant business goal leveraging cutting-edgedata science and machine learning technologies. About easyJet AteasyJet our aim is to make low-cost travel easy – connecting peopleto what they value using Europe’s best airline network, great valuefares, and friendly service. It takes a real team effort to carryover 90 million passengers a year across 35 countries. Whetheryou’re working as part of our front-line operations or in ourcorporate functions, you’ll find people that are positive,inclusive, ready to take on a challenge, and that have your back.We call that our ‘Orange Spirit’, and we hope you’ll share thattoo. Apply Complete your application on our careers site. Weencourage individuality, empower our people to seize theinitiative, and never stop learning. We see people first andforemost for their performance and potential and we are committedto building a diverse and inclusive organisation that supports theneeds of all. As such we will make reasonable adjustments atinterview through to employment for our candidates Business AreaBusiness Area Data Primary Location #J-18808-Ljbffr
