---
title: 'Machine Learning Scientist at Tripadvisor'
canonical: 'https://feeny.ai/job/machine-learning-scientist-tripadvisor-london-s4vtxkzf5dmk'
type: 'job'
last_seen: '2026-10-12'
---

# Machine Learning Scientist at Tripadvisor

- **Company:** Tripadvisor
- **Location:** London, United Kingdom
- **Posted:** 2026-09-16
- **Last confirmed live:** 2026-10-12
- **Apply:** https://job-boards.greenhouse.io/tripadvisor/jobs/8208373

## Job description

## About Tripadvisor

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork.

## About the role

The Tripadvisor Group Machine Learning Team is looking for an experienced individual to join a dynamic and fast-paced team to help support our Marketing efforts. As an ML II Scientist, you will apply your modeling skills to a wide variety of problem spaces including, but not limited to bidding for online advertising, customer modeling, experimental design, revenue optimization, attribution, recommendations, life time value. You will have access to the newest development tools and huge data sets. You will deploy your solutions online and be able to observe the impact of your work in real time as you help the company grow.

Tripadvisor Group comprises Tripadvisor, the world's leading travel information site, and Viator, the leading marketplace for travel experiences.. The ML Team creates systems that influence the travel decisions of millions of people per day. We apply cutting edge machine learning techniques to a wide variety of areas. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel!

What You'll do:

We are looking for someone who is independent, curious, and motivated, who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you’ll collaborate with a broad multidisciplinary team of data scientists, analysts, software engineers, and product managers. You’ll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business.

- Use machine learning models to solve a variety of core business problems across marketing.
- Seek out new opportunities to apply data science and machine learning in the marketing space across all channels (e.g.,paid, organic, search, demand creation, affiliates, CRM…)
- Automate ETL pipelines
- Prototype, evaluate, deploy and maintain new ML models in production
- Design AB tests and analyze their results
- Discover new ways to analyze and interpret the data
- Communicate progress and interpretation of experimental results to technical and business stakeholders

Skills & Experience:

- Team player
- Loves to learn
- Great communication skills with both technical and non-technical partners
- Gets things done on time and on specification
- Genuinely interested in AI — you've played with AI tools yourself, and you're excited to grow your skills in that space rather than waiting for it to be handed to you

Qualifications:

- PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred (or masters with 2+ years of practical experience)
- Knowledge of AB test design and analysis
- Strong background in machine learning and statistics
- Solid foundation on data structures and algorithms
- Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)
- Ability to interpret and write complex SQL queries
- Experience with big data technologies, such as Hive and Spark
- Track record of leading the deployment and maintenance of models
- Hands-on experience with AI-powered tools

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com.

If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

#LI-Hybrid

## #LI-SM1

## About Tripadvisor

## Company Overview
- **One-liner**: Tripadvisor is the world's largest travel guidance platform, helping hundreds of millions of travelers each month plan, book, and share experiences using over a billion reviews and opinions.
- **Entity Type**: Public (NASDAQ: TRIP)
- **Headquarters**: Needham, Massachusetts, United States
- **Founded**: Not publicly available in provided sources (commonly known as 2000, but not cited)
- **Founders**: Not publicly available in provided sources (commonly known as Stephen Kaufer, but not cited)

## Core Business
- **Primary Industry**: Travel technology / Software development
- **Target Customers**: B2C (travelers seeking reviews, booking, and trip planning) and B2B (hotels, restaurants, attractions, and experience providers)
- **Mission Statement**: “To bring people, passions, and places together and make everyone a better traveler.” [careers.tripadvisor.com](https://careers.tripadvisor.com/)

## Products & Services
- **Tripadvisor.com / App**: The core platform offering reviews, ratings, and booking for accommodations, restaurants, and attractions.
- **Viator**: Marketplace for bookable tours, activities, and experiences.
- **TheFork**: Restaurant reservation platform (primarily in Europe).
- **Cruise Critic**: Cruise reviews and information.
- **FlipKey / Holiday Lettings**: Vacation rental listing platforms.
- **SeatGuru**: Airline seat maps and in-flight amenity information.
- **SinglePlatform**: Digital menu and local business listing management.
- **Bokun**: Booking and inventory management software for tour operators.

## Market Standing
- **Valuation / Market Cap**: $3.5 billion (as of search date) [linkedin.com](https://www.linkedin.com/company/tripadvisor)
- **Key Metric**: Annual Revenue of $1.9 billion (most recent reported) [linkedin.com](https://www.linkedin.com/company/tripadvisor)
- **Notable Investors / Partners**: Publicly traded; parent company is Liberty TripAdvisor Holdings Inc. [linkedin.com](https://www.linkedin.com/company/tripadvisor)
- **Growth Signals**: Serves 400M+ monthly users; over 1 billion reviews and contributions; operates in 43 markets and 22 languages; recent acquisition of Liberty TripAdvisor Holdings (2025) for $437M; headcount of 1,816 (‑1.7% YoY) [linkedin.com](https://www.linkedin.com/company/tripadvisor) [tripadvisor.com](https://www.tripadvisor.com/)

## Competitive Advantages
- **Massive User-Generated Content**: Over 1 billion reviews and opinions across nearly 8 million businesses create a strong network effect.
- **Global Brand Recognition**: One of the most recognized travel brands worldwide, with presence in 75 countries.
- **Diverse Product Portfolio**: From reviews to booking to restaurant reservations (TheFork) and experiences (Viator), covering the full travel journey.
- **Data Moat**: Decades of traveler behavior data enable personalization and AI-driven recommendations.

## Strategic Focus
- **Next Chapter in Travel**: CEO Matt (last name not provided) emphasizes “writing the next chapter” and supporting small businesses. [careers.tripadvisor.com](https://careers.tripadvisor.com/)
- **AI & Personalization**: Recent departures of AI leadership suggest ongoing transformation; job postings include senior engineering and product roles focused on data and AI.
- **Hybrid Work & Global Talent**: Activity-based working model encourages in-person collaboration while supporting remote flexibility across offices in the Americas, EMEA, and APAC.

## Why Work Here
- **Culture & Values**: Described as “fueled by curiosity, flexibility, and collaboration” with a shared love of travel. [careers.tripadvisor.com](https://careers.tripadvisor.com/life-at-tripadvisor)
- **Work Model**: Activity-based working (hybrid) – some roles optimized for office, others for home; all full-time employees expected to spend some in-person time.
- **Benefits**: Full medical premium coverage for employee-only plans (some options), dental, vision, Employee Assistance Program (EAP), free Calm subscription, virtual babysitting/wellness support via SitterStream. [careers.tripadvisor.com](https://careers.tripadvisor.com/life-at-tripadvisor)
- **Career Development**: Award‑winning development program focused on growing yourself, others, and the business; live and on‑demand learning experiences. [careers.tripadvisor.com](https://careers.tripadvisor.com/life-at-tripadvisor)
- **Diversity & Inclusion**: Employee Resource Groups (ERGs) for underrepresented communities; recognized as a leader in LGBTQ+ Workplace Inclusion (2026). [careers.tripadvisor.com](https://careers.tripadvisor.com/)
- **Employee Ratings**: 3.6/5.0 on LinkedIn (1,668 reviews); Work‑Life 4.2, Compensation 3.9, Culture 3.9. [linkedin.com](https://www.linkedin.com/company/tripadvisor)
- **Global Offices**: Major hubs in Needham (MA), New York, London, Oxford, Paris, Sydney, Tokyo, Singapore, and many more. [careers.tripadvisor.com](https://careers.tripadvisor.com/life-at-tripadvisor)

## Sources
1. [careers.tripadvisor.com](https://careers.tripadvisor.com/) – Official careers page, mission, benefits, culture
2. [careers.tripadvisor.com/life-at-tripadvisor](https://careers.tripadvisor.com/life-at-tripadvisor) – Life at Tripadvisor, benefits, offices, ERGs
3. [linkedin.com/company/tripadvisor](https://www.linkedin.com/company/tripadvisor) – Company overview, financials, headcount, recent departures, acquisitions
4. [tripadvisor.com](https://www.tripadvisor.com/) – Core platform, reviews count, user base

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