Principal Data Scientist - Optimisation...

Job Description Principal Data Scientist -
Optimisation 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 320 aircraft
flying over 1000 routes to more than 30 countries, we’re the UK’s
largest airline, the second largest in Europe and the eighth
largest in the world. Flying over 90 million passengers a year, we
employ over 14,000 people. Its big-scale stuff and we’re still
growing. JOB PURPOSE The Principal Data Scientist role is pivotal
in transforming the company into a data-driven organization,
responsible for supporting the implementation of the vision for the
company's data science capabilities and ensuring the alignment of
data-related projects with easyJet’s overall objectives. This role
is focused specifically on operational use cases – such as network
planning, crew optimisation, maintenance, and disruption management
– and the data science solutions delivered are expected to drive
efficiency, resilience and cost-effectiveness in operational
performance. Responsibilities include managing and supporting data
science resources, providing leadership employing Agile
methodologies to deliver data science developments, and actively
participating in hiring to build a robust data science team. The
role may involve expertise in either machine learning (e.g.,
predictive modelling, classification, anomaly detection) or
mathematical optimisation (e.g., scheduling, resource allocation,
route optimisation). Candidates with a strong background in one
area and interest in the other are encouraged to apply. The role
demands leading the development and deployment of data science
solutions, managing the entire project lifecycle, and collaborating
with the Centre of Enablement (COE) to implement training and best
practices. JOB ACCOUNTABILITIES - Manage data science resource
allocation within the team, ensuring optimal use of personnel and
tools to meet project demands. - Provide technical support and
guidance to data science team members, assisting in troubleshooting
and resolving complex issues. - Apply Agile methodologies and a
hypothesis-driven approach as required. - Take a lead role in
hiring and building a high-performing team of Data Scientists. -
Contribute to the recruitment and development of data talent across
ITD&C and broader business functions. - Guide and mentor
colleagues to support their growth and development. - Collaborate
with the Data Management team to improve data quality and increase
trust in analytical outputs. - Lead the development and deployment
of data science solutions for a specific business area, ensuring
alignment with strategic goals. - Lead the end-to-end delivery of
data science projects, from gathering and shaping requirements to
liaising with key stakeholders to identify and deliver appropriate
solutions that meet project objectives. - Provide direction on
tools and capabilities to optimise team performance and enhance
overall efficiency, ensuring maximum productivity. - Own and define
key performance indicators (KPIs) and diagnostics to measure
performance against business goals, ensuring precise data-driven
decision making. - Collaborate with the Centre of Excellence (COE)
to implement training and best practice capabilities effectively
and sustainably, enhancing skills across the team. KEY SKILLS
REQUIRED - Experience in coaching, training, or mentoring groups
and individuals in both technical and developmental capacities. -
Excellent communication skills, with the ability to convey complex
analytical concepts to both technical and non-technical
stakeholders. - Experience developing training materials in
academic or business settings, particularly around data literacy
(strongly preferred). - Commercial experience in Data and
Analytics. - Proficiency in SQL (any variation). - Experience using
Python to extract, manipulate, and summarize data from large
databases. - Proven expertise in managing teams that develop and
deploy complex descriptive and predictive algorithms. - Working
knowledge of statistical techniques (e.g., time series analysis,
multivariate analysis, forecasting) and/or mathematical
optimisation methods (e.g., linear programming, constraint
programming, heuristic approaches). - Experience working in
cross-functional teams and projects. - Proven ability to deliver
presentations to senior audiences, with the flexibility to adapt
communication style as needed. - Demonstrates ownership,
responsiveness, and commitment to both individual and team
responsibilities. - Experienced in using a wide range of coaching
and mentoring skills to support peers and individuals across the
broader business. Desirable Skills and Experience - Prior
experience working in Airline/Aviation What you’ll get in return -
Competitive base salary - Up to 30% bonus - 25 days holiday - BAYE,
SAYE & Performance share schemes - 7% pension - Life Insurance

• Work Away Scheme - Flexible benefits package - Excellent staff
  travel benefits About easyJet At easyJet our aim is to make
  low-cost travel easy – connecting people to what they value using
  Europe’s best airline network, great value fares, and friendly
  service. It takes a real team effort to carry over 90 million
  passengers a year across 35 countries. Whether you’re working as
  part of our front-line operations or in our corporate 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 that too. Apply Complete your
  application on our careers site. We encourage individuality,
  empower our people to seize the initiative, and never stop
  learning. We see people first and foremost for their performance
  and potential and we are committed to building a diverse and
  inclusive organisation that supports the needs of all. As such we
  will make reasonable adjustments at interview through to employment
  for our candidates.