Machine Learning Scientist II - Forecasting & Causal Inference
Location: United Kingdom - London
Job Type: Full‑Time Regular
Posted: 11/05/2025
ID # R-97296
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 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 the Team
The Expedia Group team in London helps our customers find and book the best travel for their needs, and our suppliers compete effectively and grow their business on our travel platform. Our travel platform is powered through transforming raw data into insights that both suppliers and customers can leverage. We strive to ensure everything we do has measurable business impact. We build innovative algorithms and models that make intelligent, automated decisions, both in batch and in real‑time. We collaborate closely with the analytics, market management, product and technology teams.
In this role, you will:
- Create state‑of‑the‑art machine learning models to enhance our travel platform's effectiveness and efficiency.
- Apply causal inference techniques and forecasting models to solve complex business problems and improve decision‑making across our travel platform.
- Leverage large volumes of data to build models and algorithms that improve software and address critical business questions.
- Utilize cloud and data technologies to train and deploy models at scale.
- Support key business initiatives through data‑driven insights.
- Collaborate with analytics, market management, product, and technology teams.
- Forecast demand, suggest prices and deals, provide automated conversational AI, and offer guided recommendations for hotels.
- Manage multiple tasks, own deliverables end‑to‑end, and prioritize workload effectively.
- Communicate findings and implications clearly to teammates and business partners.
Minimum experience and qualifications:
- MSc or PhD in a quantitative discipline (e.g., Machine Learning, Computer Science, Statistics, Applied Mathematics/Physics); or equivalent related professional experience.
- Proven experience applying ML and econometric algorithms to real‑world problems.
- Experience with causal inference methods (e.g., propensity scoring, instrumental variables) and forecasting techniques (e.g., time series models, ARIMA, Prophet).
- Proficiency in Python, R, or Scala with strong coding practices and performance optimization.
- Solid SQL skills data extraction, transformation, and loading.
- Experience with distributed data environments (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Qubole, Databricks).
- Ability to frame business problems as data science challenges and prototype effective solutions.
- High intellectual curiosity and a passion for tackling complex technical problems.
- Proficient communication skills—both verbal and visual—for sharing insights and driving impact.
Preferred Qualifications:
- Ability to understand business challenges and formalize them into appropriate machine learning frameworks.
- Familiarity with causal modeling frameworks and forecasting tools to drive predictive insights and strategic planning.
- Experience gathering and manipulating large volumes of data, building datasets, and selecting/engineering model features.
- Skill in developing, assessing, and iteratively improving predictive models using advanced machine learning and statistical methods.
- Ability to debug and correct data assumptions through testing.
- Strong collaboration skills to work effectively with business partners, program management, and engineering teams.
- Good understanding of the travel industry and our data landscape.
- Commitment to staying current with latest data science developments and sharing knowledge with the team.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent membership. View our full list of benefits.
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 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.
