Data Scientist

Milano, ITCompetitiveOnsiteFULL_TIME0 applicants

About this role

<p><span><strong id="docs-internal-guid-395c4d5f-7fff-e8e0-dded-9f45587b6997">ABOUT WEROAD: CONNECTING PEOPLE, CULTURES, AND STORIES</strong></span></p><p><span>Founded in 2017, WeRoad is a fast-growing startup that is disrupting the travel industry in Italy, Spain, UK, Germany, France and Switzerland!</span></p><p><span>With 200 team members and 4K Travel Coordinators, we’re a community of travelers who turn every trip into a life-changing experience. We connect like-minded millennials and send them on adventures to 1000+ destinations worldwide.</span></p><p><span>We're on a mission to design and deliver experiences worth living and sharing, through rewriting the rules of the travel industry.</span><br></p><p><span>Sounds exciting? Before you apply, please read through our </span><a target="_blank" href="https://career.weroad.travel/culture-manifesto/"><span>Cultural Manifesto</span></a><span> 👥</span></p><p><span><strong>ABOUT THE ROLE</strong></span></p><p><span><strong>JOB TITLE:</strong> <strong>(Junior) Data Scientist</strong></span></p><p><span><strong>LOCATION: </strong>Full remote or Hybrid (Milan)</span></p><p><span><strong>TYPE OF CONTRACT:</strong> full time</span></p><p><span><strong>SENIORITY: </strong>Junior to Mid</span></p><p><span><strong>SALARY RANGE: €33.000 - €37.000 / year</strong></span></p><p><span>We're looking for a Junior Data Scientist to join our Data &amp; Analytics team at an exciting moment: WeRoad is actively embedding AI into how we match travelers to experiences, how we price trips, and how we understand demand.</span></p><p><span>In this role, you'll work hands-on across machine learning, statistics, and experimentation, supporting projects in recommendation, ranking, forecasting, and pricing. You'll collaborate closely with Data Scientists, Data Analysts, Data Engineers, and ML Engineers to build reliable pipelines, improve models, and deliver measurable business impact.</span></p><p><span>You'll work in an environment where AI tools are part of the daily workflow: from accelerating development to exploring new approaches to complex problems. If you're curious, rigorous, and excited about using data and AI to help thousands of travelers find their next adventure, this role is for you.</span></p><p><span><strong>What You'll Do:</strong></span></p><ul><li><p><span>Work closely with Senior team members to learn the algorithms and data structures that power WeRoad's core products, translating business needs into clear goal metrics and cost functions that ensure every model is solving the right problem</span></p></li><li><p><span>Work with Data Engineers and ML Engineers to build production-ready pipelines, evaluate model performance, and monitor model decay, keeping our systems reliable and accurate as travelers' behavior evolves</span></p></li><li><p><span>Co-design, develop, and deploy ML models for clustering, classification, ranking &amp; recommendation, and forecasting directly influencing trip conversion rates, unsold capacity, and which experience each traveler sees, and when</span></p></li><li><p><span>Explore and integrate LLM-based approaches where relevant, from semantic search and embedding-based recommendation to AI-assisted content understanding</span></p></li><li><p><span>Stay current with relevant literature, propose new approaches, and use AI tools actively to accelerate development and raise the quality of your output, bringing fresh ideas into WeRoad</span></p></li><li><p><span>Design and implement A/B tests with a solid statistical framework to validate hypotheses before full rollout</span></p></li></ul><p></p><p><span><strong>What we’re looking for:</strong></span></p><p><span><strong>Must-have</strong></span></p><ul><li><p><span>Degree in STEM, CS or Economics</span></p></li><li><p><span>Good knowledge of Python, SQL, and Git</span></p></li><li><p><span>Strong analytical mindset, curiosity, and willingness to learn</span></p></li><li><p><span>Fl

EU Requirements

Job Details

Posted28 April 2026
Closes28 May 2026
Job TypeFULL_TIME
Work ModeOnsite

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