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# Senior Data Scientist, Analytics

- **Company:** 11310 Expedia.com Ltd.
- **Location:** UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Python (Programming Language), SQL Databases, Sql Optimization, Large Language Models, Prompt Engineering, Information Technology, Production Code, Document Classification, Data Pipelines
- **Published:** August 6, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/42549934/

## About the Role

setting. You are a proven expert in statistical modeling and experiment design - including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit). You have hands-on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring). You have advanced proficiency in SQL and Python, with ability to write clean, production-quality code. You have experience working with large-scale, unstructured text data and LLMs - including prompt design, evaluation (e.g., golden sets, LLM-as-judge), and RAG patterns. You have demonstrated ability to mentor junior data scientists, balance speed, risk, and analytical rigor. You have experience with advanced visualization techniques / best practices, and building scalable dashboards. You operate independently, managed cross-function projects and able to influence product and business strategy through data, and storytelling skills.

## Description

product, engineering, and executive audiences; influence roadmap prioritization through data. Write advanced SQL and Python to build scalable, automated analytics pipelines and self-serve dashboards. Collaborate with cross-functional teams to architect and implement end-to-end data pipelines and intelligent systems that operate at production scale. Lead and mentor data scientists and engineers, fostering technical excellence and a culture of continuous learning. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring models are reliable, ethical, and scalable. Co-own with Product and business leaders the metric frameworks and decision workflows for your area. Experience and qualifications: Bachelor's degree or higher in Statistics, Economics, Computer Science, Data Science, or a related quantitative field; or equivalent related professional experience. 8+ years of experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry


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