Senior Data Scientist

Senior Data Scientist / Operational ResearcherLuton/Hybrid When it comes to innovation and achievement there are few organisations with a better track record. Join us and you’ll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so people can exercise their get-up-and-go. With over 300 aircraft flying over 800 routes to more than 30 countries, we’re the UK’s largest airline, the second largest in Europe and the tenth largest in the world. Flying over 80 million passengers a year, we employ over 13,000 people. Its big-scale stuff and we’re still growing.TEAMThe data science team are seeking an Optimization Senior Data Scientist/Operational Researcher to join our team. The ideal candidate will have a strong background in data science and experience with optimization techniques ideally in the area of Network & Scheduling. Responsibilities include developing and implementing optimization models, analysing data to identify innovation opportunities, and collaborating with cross-functional teams to drive delivery of the models we build.The role forms part of the Data Science team responsible for developing new prediction, simulation, optimisation and AI capabilities that will help transform easyJet into the world’s most data driven airline.The Data Science team is an integral part of the wider Data team, which also includes Data Analytics and Data Management teams, and is closely integrated with the IT team, especially in areas of Demand Management, Data Engineering and Service Delivery. The team works closely with a growing number of internal stakeholders across easyJet on multiple transformation projects.This role reports into a Lead Data Scientist.JOB PURPOSEThe Senior Data Scientist will be responsible for:Leading the delivery of optimization algorithms and mathematical models that solve complex business problems with minimal support from senior team membersCollaborating with the data science and analytics team to advance the teams optimization capabilitiesCommunicating complex optimization concepts to non-technical stakeholdersParticipating in the majority of the Data Science Project Lifecycle utilising knowledge of the Data Science ToolboxManagement Track: Line managing junior team members with support from senior leadership teamSpecialist Track: Starting to develop a sufficiently broad area of specialism (e.g. a Technical area such as Optimization, or a Business area such as Network & Scheduling), and become a valued and trusted expert within the Data Science teamJOB ACCOUNTABILITIESContribute to the majority of the Data Science Project Lifecycle from idea to productionBuild, validate and manage intermediate prediction, simulation, optimisation models and algorithmsWork with senior team members to define and use the key performance indicators (KPIs) and diagnostics to measure performance against business goalsUnderstand and monitor data quality to improve confidence in the data used for analysisFollow Agile methodologies and an hypothesis-driven approachContribute to hiring and building a great pool of Data Scientists for your teamManagement Track: Define clear objectives for each individual you manageEnsure each individual you manage has a personal development plan and regularly proactively works on itCarry out people routines for direct reportsSpecialist Track: Have started to develop a deep knowledge of a sufficiently broad area of specialism (e.g. a Technical area such as Optimisation, or a Business area such as Network & Scheduling), and to act as a valued and trusted expert within the Data Science teamCoach and Mentor colleagues within the Data Science team to help them develop technical excellenceDeliver some training sessions for the Data Science team in your specialist areaTECHNICAL SKILLS REQUIREDHave strong programming skills in python, SQL and one compute optimised languageHave an intermediate knowledge of optimisation techniques such as Linear Programming, Integer Programming, Mixed-Integer Programming, constraint programmingHave knowledge of both exact methods as well as (meta)heuristic methods of optimizationFamiliar with optimisation platforms/packages (Gurobi, ORTools CPLEX, PuLP or similar)Knowledge of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies)A good analytical background, with a degree or MSc in a scientific/engineering field (Statistics, Maths, Computer Science, Engineering, Physical Sciences) or equivalent commercial experienceWhat you’ll get in return Competitive base salaryUp to 20% bonus25 days holidayBAYE, SAYE & Performance share schemes7% pensionLife InsuranceWork Away SchemeFlexible benefits packageExcellent staff travel benefits