Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Scientist III, Planning and Insights

Expedia Group
Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist III, Planning and Insights

Data Scientist III, Planning and Insights

Senior Data Scientist

Machine Learning Quantitative Researcher

Senior Data Analyst

Analyst I/ II, Data Science

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.

Introduction to team:

Are you passionate about data, analytics and predictive modelling? Do you want to be at the forefront of a truly customer-centric organization.

We are looking for a hardworking and intelligent individual to fill the Data Scientist III (Individual Contributor) role in the Planning and Insights Analytics team. You will provide powerful analyses and insights and develop business forecast models, capital allocation and strategic planning across Expedia Group brands. This is an exciting opportunity for a team-player who wants to be a central part of a truly customer focused team and a growing analytics function!

You will own the relationship with our stakeholders and help drive the expansion of forecast applications, spend allocation and scenario planning across the B2C organization. You will also have opportunities to research and develop new modelling techniques that incorporate business drivers as required. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the same time and own projects end to end. Critical to your success in this role is a love of data (we love data!) - developing insightful analysis that you communicate in a clear and compelling way.

In this role, you will:

  • Apply advanced analytical techniques, statistical knowledge, machine learning, and big data handling skills to support our commercial stakeholders’ decision-making

  • Use your creativity and commercial acumen to translate business problems into structured analytical questions, and choose the most appropriate methodologies to answer these questions

  • Own the relationships with our Marketing stakeholders, and work autonomously to prioritise and execute on the most impactful analytics projects

  • Influence partners and senior leaders through communicating across various levels of the organization using clear and compelling storytelling and presentations

  • Prioritise multiple tasks and workstreams simultaneously and own projects end to end

Experience and qualifications:

  • Bachelor's, Master’s, PhD; Mathematics, Science, Statistics, Economics degree; or Equivalent related professional experience is applicable

  • 3+ years of experience in a similar analytical role

  • Strong Python and SQL skills with demonstrated experience to structure, transform and analyze data, and a willingness to learn new frameworks and languages required for the task

  • Prior experience in predictive modelling and developing forecast applications

  • Display a true passion for data and analytics as well as possessing a strong commercial awareness.

  • A high performing individual contributor who consistently applies – and often enhances – the analytical capabilities, principles and playbooks to solve complex business issues and opportunities

  • Develops and drives significant and sustained change and performance improvement from data driven insights in a number of different areas or contexts

  • Experience of developing, and delivering, presentations that help people understand the insight from sophisticated analytics

  • Ability to perform in a high-pressure, dynamic environment and be comfortable with a high level of ambiguity.

#LI-MF2

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 .

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 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.

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.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.