Senior Data Scientist - Optimisation

easyJet
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist – Machine Learning -  Defence – Eligible for SC

Senior Data Scientist role - Financial Services | Guildford £80k

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Optimisation(15043)

Description

Senior Data Scientist Optimisation
Luton/Hybrid
 
THE TEAM

The data science team are seeking a Senior Data Scientist/Operational Researcher to join our team. The ideal candidate will have a strong background in data science 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 PURPOSE
 
The 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 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

Management Track:

Line managing junior team members with support from senior leadership team 

Specialist Track:

Starting to develop a sufficiently broad area of specialism (, 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 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 (, 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

Requirements of the Role

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 Knowledge of the Data Science Toolbox (, 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 

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

Business Area

Information Technology (IT)

Primary Location

United Kingdom-London-London Luton Airport

Organisation

Information Technology (IT)

Schedule

Full-time

Unposting Date

Ongoing

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.