Machine Learning Scientist II - Forecasting & Causal Inference

Expedia, Inc.; Camden Town; On-site; GBP 50,000 - 70,000; Full time

Job summary

A global travel technology company in Camden Town is seeking a Data Scientist to create innovative machine learning models and provide data-driven insights for business initiatives. The role requires an MSc or PhD in a quantitative discipline and experience with causal inference and forecasting techniques. You will collaborate with various teams to enhance the travel platform's effectiveness.

Benefits

Medical, dental, and vision insurance

Paid time off

Travel discounts

Wellness and travel reimbursement

Qualifications

• Experience applying ML and econometric algorithms to real-world problems.
• Experience with causal inference methods and forecasting techniques.
• Ability to frame business problems as data science challenges.

Responsibilities

• Create machine learning models to enhance travel platform effectiveness.
• Apply causal inference techniques to solve business problems.
• Collaborate with analytics, product, and technology teams.

Skills

Machine Learning

Causal Inference

Forecasting Techniques

Python

SQL

Data Extraction

Collaboration

Education

MSc or PhD in a quantitative discipline

Tools

R

Scala

Hadoop

Spark

AWS

Databricks

Job description

Overview

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.

Responsibilities

• 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

Qualifications

• MSc or PhD (or equivalent) in a quantitative discipline such as Machine Learning, Computer Science, Statistics, Applied Mathematics or Physics
• 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 for 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
• 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

Benefits

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical, dental, vision, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and an International Airlines Travel Agent membership.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.