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

Nominate & Attend

Analytics Engineer III - Data Science

Expedia Group
London
11 months ago
Applications closed

Related Jobs

View all jobs

Analytics Engineer

Fabric Analytics Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Data Engineer

Analytics Engineer III

Would you like to join a high profile team doing outstanding things with data?
Are you passionate about making data clear and engaging?
Do you want to continuously be challenged by innovating and learn new techniques?
As a key member of the Analytics, Products & Visualisation Engineering team, the Analytics Engineer III - Data Science will play a pivotal role in supporting our key partners, ensuring they are able to effectively and quickly turn data into insights, driving business decisions and strategy.
This team build and develop state of the art solutions, collaborating with other teams across the business to build a robust and reliable platform.

What you’ll do:

  • Apply advanced analytics techniques, statistical knowledge, 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
  • Developing coherent and performant data models that transforms large, complex and disparate datasets into the basis for explorable, understandable and accurate data products
  • Be the conduit between the wider business and the analytics engineering team, translating business requirements into technical solutions
  • Develop our insights platform by building new features and integrating with other tools/systems
  • Investigate and resolve issues across our data architecture and platform
  • Display a true passion for data, analytics, online travel / e-commerce and possess a strong commercial awareness


Who you are:

  • An experienced analytics engineer with an interest in analysis and storytelling with data
  • Strong SQL skills; demonstrated experience of using R / Python to structure, transform and visualize big data, and a willingness to learn new frameworks and languages required for the task
  • Experience creating and analysing drivers of performance metrics
  • Willingness to learn and come up with creative solutions
  • Excellent interpersonal skills and ability to work with all levels of management, across different organizations as well as communicate effectively with non technical audiences
  • Attention to detail and a commitment to data integrity
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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

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.