Data Scientist

2 weeks ago

Luton UK, Bedfordshire, United Kingdom easyJet Full time

Data Scientist / Operational Researcher - Optimization

Luton/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.


TEAM

The data science team are seeking an Optimization 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.


JOB PURPOSE

The 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 members
  • Collaborating with the data science and analytics team to advance the teams optimization capabilities
  • Communicating complex optimization concepts to non-technical stakeholders
  • Participating in the majority of the Data Science Project Lifecycle utilising knowledge of the Data Science Toolbox


Specialist 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 team


JOB ACCOUNTABILITIES

  • Contribute to the majority of the Data Science Project Lifecycle from idea to production
  • Build, validate and manage intermediate prediction, simulation, optimisation models and algorithms
  • Work with senior team members to define and use the key performance indicators (KPIs) and diagnostics to measure performance against business goals
  • Understand and monitor data quality to improve confidence in the data used for analysis
  • Follow Agile methodologies and an hypothesis-driven approach


Specialist 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 team
  • Deliver some training sessions for the Data Science team in your specialist area


TECHNICAL SKILLS REQUIRED

  • Have strong programming skills in python, SQL and one compute optimised language
  • Have an intermediate knowledge of optimisation techniques such as Linear Programming, Integer Programming, Mixed-Integer Programming, constraint programming
  • Have knowledge of both exact methods as well as (meta)heuristic methods of optimization
  • Familiar 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 experience


What you’ll get in return


Competitive base salary

Up to 20% bonus

25 days holiday

BAYE, SAYE & Performance share schemes

7% pension

Life Insurance

Work Away Scheme

Flexible benefits package

Excellent staff travel benefits

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