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🟒 Actively Hiring Β· Posted 25d ago ⏳ Closes in 66 days UK Corridor πŸ›‘οΈ UK Work Eligibility 🏒 Company - Public

Machine Learning Scientist II (Fraud)

🏒 Tripadvisor β€’ πŸ“ Remote β€’ πŸ•’ Sep 14, 2026
Salary Range
Salary Disclosed on Application
Full Benefits Package
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Corporate Registration Verified UK Companies House registration standing active
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Prevailing Wage Benchmark UK National Minimum Wage & Equality Act 2010 aligned
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Corridor Right-to-Work Match UK Work Eligibility

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Verified Analytics
Location Base
Remote
Tier-1 UK Economic Zone
Est. Take-Home Pay
68% - 74% (After PAYE & NI)
Single tax filer baseline
Transatlantic Parity
1.0 GBP β‰ˆ $1.28 USD Living Standard
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Position Overview & Specifications

We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to
bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.

At Tripadvisor, we never stop learning. This is true both individually and as a company, where constant experimentation helps us to understand how we can continue to grow and improve the
user experience for our 500 million unique monthly visitors worldwide. Data-driven decision making is at the core of what we do.

About the Role

The Tripadvisor Data Science Team is looking for an exceptional individual to help design and build next generation systems that models the fairness, reliability and validity of Tripadvisor
audiences and content. Such a model will allow significant improvements in our ability to offer to travelers the broadest, most relevant travel products. This individual will also have the
opportunity to work on other projects on the team, including those related to text and image processing.

We will consider candidates based in Portugal or UK

About Data Science at Tripadvisor

Tripadvisor is the web's leading travel information site. At Tripadvisor, the Data Science Team creates systems that influence the travel decisions of millions of people per day. It applies
cutting edge machine learning techniques to a wide variety of areas such as recommenders, vision, and text processing - especially with a focus on natural language processing (NLP). 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 Will Be Doing

  • Participate in the design of machine learning models to solve a variety of core business
problems
  • Automate ETL pipelines
  • Prototype, evaluate, deploy and maintain new models in production
  • Design AB tests and analyze their results
  • Communicate progress and experimental results to technical and business stakeholders
  • Participate in the planning of future projects.
What you are like

  • Team player
  • Loves to learn
  • Great communication skills with both technical and non-technical partners
  • Gets things done on time and on specification.
Qualifications

  • Advanced degree in Computer Science, Engineering, Statistics, or a related field.
  • Strong background in machine learning and statistics.
  • Solid foundation on data structures and algorithms.
  • Ability to write complex SQL queries. Experience with Snowflake is a bonus.
  • Proficiency in Python, R or a similar numerical/statistical programming language.
  • Experience with big data technologies, such as Hive and Spark.
  • At least 2 years of relevant, practical experience.
  • Bonus Experience with deep learning, modern NLP & machine vision techniques.
  • Bonus Experience with online businesses.
What you'll get

Highly competitive salary along with the following:
  • Annual bonus.
  • Excellent contributory pension.
  • Full family private medical cover.
  • Full dental cover.
  • Annual wellbeing allowance (e.g. gym membership, Apple Watch).
  • Personal travel reimbursement.
  • Critical illness plus full life cover.
  • Employee assistance program.
We strive to create an accessible and inclusive experience for all candidates.
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Candidate Selection & Onboarding Process

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United Kingdom Right to Work & Skilled Worker Visa Guide

Corridor Intelligence

Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:

πŸ‡¬πŸ‡§ Skilled Worker Visa (Tier 2)

Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (Β£38,700) or occupation going rate.

πŸ›οΈ Settlement (ILR) Pathway

Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.

βš–οΈ Official regulatory reference: UK Visas and Immigration (UKVI) & Home Office Sponsor Register.

Candidate Preparation Blueprint: Internet & Web Services

Recruitment Insights

Based on transatlantic hiring benchmarks for Machine Learning Scientist II (Fraud) roles across Tripadvisor's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Internet & Web Services.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.

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