National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist I, Competitive Intelligence...

Expedia, Inc.
London
1 week ago
Create job alert

Expedia Group brands power global travel for everyone,
everywhere. We design cutting-edge tech to make travel smoother and
more memorable, and we create groundbreaking solutions for our
partners. Our diverse, vibrant, and welcoming community is
essential in driving our success. Why Join Us? To shape the future
of travel, people must come first. Guided by our Values and
Leadership Agreements, we foster an open culture where everyone
belongs, differences are celebrated and know that when one of us
wins, we all win. We provide a full benefits package, including
exciting travel perks, generous time-off, parental leave, a
flexible work model (with some pretty cool offices), and career
development resources, all to fuel our employees' passion for
travel and ensure a rewarding career journey. We’re building a more
open world. Join us. Data Scientist I, Competitive Intelligence The
Traveler Business Team has a mission to deliver the most
convenient, rewarding, and memorable ways for people to travel and
explore the world. This division has responsibility to build and
drive the growth of our global consumer business across our
Expedia, Hotels.com, Vrbo, and Portfolio brands, and across all our
lines of businesses including Hotels, Vacation Rentals, Air, Car,
Packages, and Insurtech. Introduction to team The Data Science,
Competitive Intelligence team works with cutting-edge tools and
technology to deliver high-quality outputs whilst meeting ongoing
and overlapping deadlines within short time constraints. This
diverse, international function requires a motivated,
detail-oriented Junior Analyst to support in delivering
high-quality insights and assist in managing cross-functional
Competitive Intelligence projects. If you have a strong interest in
analytics, problem-solving skills, and a willingness to learn and
grow then this is the role for you! In this role you will: - Assist
in conducting research and analysis on competitor activities,
market trends, and industry best practices to inform business
strategy. - Support querying large datasets and help translate data
into actionable insights and clear recommendations. - Contribute to
the continuous improvement and innovation of the competitive
intelligence function by identifying new data sources and enhancing
existing analytics capabilities. - Assist in consolidating internal
communications, providing insights from various teams. - Help
develop and maintain dashboards and reports to track and analyze
KPIs and performance metrics. Experience and qualifications: - You
have a Bachelor's or Master's degree in a numerical discipline:
Business, Economics, Statistics, or a related field. - Experience
in competitive intelligence, business analytics, or a related field
is valued but not required. - Analytical skills and problem-solving
abilities, with some proficiency in SQL, Tableau, Excel, and
PowerPoint. - Good stakeholder management skills, with the ability
to interact with senior stakeholders. - Willingness to learn and
develop project management skills. - Strong communication and
presentation skills, with the ability to present information
clearly and concisely, both written and verbal - Ability to focus
on the business relevant angles of analytical problems #LI-DNI
Accommodation requests If you need assistance with any part of the
application or recruiting process due to a disability, or other
physical or mental health conditions, please reach out to our
Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in
2024 and be recognized for award-winning culture by organizations
like Forbes, TIME, Disability:IN, and others. Expedia Group's
family of brands includes: Brand Expedia, Hotels.com, Expedia
Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire,
Wotif, ebookers, CheapTickets, Expedia Group Media Solutions,
Expedia Local Expert, CarRentals.com, and Expedia Cruises. 2024
Expedia, Inc. All rights reserved. Trademarks and logos are the
property of their respective owners. CST: 2029030-50 Employment
opportunities and job offers at Expedia Group will always come from
Expedia Group’s Talent Acquisition and hiring teams. Never provide
sensitive, personal information to someone unless you’re confident
who the recipient is. Expedia Group does not extend job offers via
email or any other messaging tools to individuals with whom we have
not made prior contact. Our email domain is @expediagroup.com. The
official website to find and apply for job openings at Expedia
Group is careers.expediagroup.com/jobs. Expedia is committed to
creating an inclusive work environment with a diverse workforce.
All qualified applicants will receive consideration for employment
without regard to race, religion, gender, sexual orientation,
national origin, disability or age. #J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Manager

Data Science and Analytics Senior Business Analyst

Data Scientist

Senior Data Scientist

Senior Data Engineer, EMEA

Machine Learning Engineer/Researcher - 2025 Programme

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.