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

Data Scientist III, ROW AOP

AI Architect

Machine Learning Engineer - Generative AI

AI Engineer - Data Science

Business Intel Engineer, EU Customer Behavior and Marketing Analytics and Data Science

Data Engineer - Fully Remote - £55k - £65k

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.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.