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Senior Data Scientist

2 months ago

Luton, United Kingdom easyJet Full time

Senior Data Scientist / Operational Researcher


Before applying for this role, please read the following information about this opportunity found below.

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 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 team is made up of a very diverse group of Data Scientists working collaboratively to develop bespoke solutions to complex, yet interesting business problems. 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. The team also works in partnership with a select few external stakeholders who augment our capabilities such as Algorithm support.

This role reports into a Lead Data Scientist.

JOB PURPOSE

The Senior Data Scientist will be responsible for:

  • Delivering Data Science projects with minimal support from senior team members providing decision recommendations that fulfil business requirements and enhance existing and new business processes
  • Participating in the majority of the Data Science Project Lifecycle utilising an intermediate knowledge level of the Data Science Toolbox and a good understanding of the easyJet business

Management Track:

o Line managing a few junior team members with support from senior team members

Specialist Track:

o Starting to develop a sufficiently broad area of specialism (e.g. a Technical area such as Optimisation, or a Business area such as Revenue Management), 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 live
  • Compile, integrate, and analyse data from multiple sources to answer business questions
  • Build, validate and manage intermediate prediction, simulation, optimisation and reinforcement learning models and algorithms
  • Analyse results and make recommendations to improve customer experience and business performance
  • 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
  • Are familiar following Agile methodologies and the hypothesis-driven approach
  • Contribute to hiring and building a great pool of Data Scientists for your team

Management Track:

  • Define clear objectives for each individual you manage
  • Ensure each individual you manage has a personal development plan and regularly proactively works on it
  • Carry out people routines for direct reports

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
  • Coach and Mentor colleagues within the Data Science team to help them develop technical excellence
  • Deliver some training sessions for the Data Science team in your specialist area

TECHNICAL SKILLS REQUIRED

  • Have an intermediate knowledge level 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)
  • Demonstrable commercial experience ideally as a Senior Data Scientist
  • Understand key user personas, customers and stakeholders for your project and their pain points really well > Demonstrate empathy and listening skills to understand the needs of your stakeholders and customers and strong persuasion skills to influence others
  • Set up and configure Data Science technology environments
  • Are familiar with using Big Data and Cloud environments and the common Data Science toolset
  • 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
  • Ideally have completed a PhD or equivalent research experience in any field

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