Senior Data Scientist – Recommender Systems & VLMs

Data Scientist – Recommender Systems & VLMs Mapp is a leading AI-powered retail technology company helping fashion retailers deliver highly personalised shopping experiences. By combining advanced recommendation systems, customer insights, and machine learning, we enable retailers to drive engagement, conversion, and long-term customer loyalty at scale. WHERE YOU CAN MAKE AN IMPACT : We are looking for a Senior Data Scientist who is passionate about applying machine learning, experimentation, and analytics to solve complex product challenges. This is an opportunity to work at the intersection of AI, personalisation, and product strategy, transforming cutting-edge research into scalable solutions that deliver measurable business impact. As part of our Data Science team, you will develop and improve our recommendation systems and vision language models , design and evaluate experiments, and collaborate closely with Product and Engineering teams to shape the future of our platform. You will work on high-impact initiatives, influence strategic decisions, and help drive innovation across products used by millions of consumers and leading retail brands. THE ASSETS YOU BRING TO THE TEAM: Degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline 3-5 years of experience in Data Science, Machine Learning, or Product Analytics Strong proficiency in Python (experience with PySpark is a plus) Strong analytical and problem-solving skills Ability to communicate technical concepts effectively to non-technical stakeholders Proven track record of building and deploying machine learning models, ideally recommendation systems and vision language models Experience with cloud and data technologies, such as AWS, DBT, Airflow, Databricks, and ETL pipelines WHAT WE OFFER: Our Culture: We are ambitious in what we do, while maintaining a collaborative, down-to-earth, and supportive culture. Flexible Ways of Working: We offer a hybrid working model that combines the flexibility of remote work with access to our modern office spaces. You’ll also have the opportunity to work remotely from another EU country for up to two weeks per year ( available to employees holding an EU passport ). Compensation & Benefits: Our benefits package varies by location. Your recruiter will be happy to provide details relevant to your region and answer any questions you may have. Make an Impact: Join a company where your ideas matter. We value initiative and empower our people to help shape the business, influence how we work, and contribute to the future of our organization. Growth & Opportunity: From day one, you'll be trusted with meaningful responsibilities, encouraged to drive innovation, and supported in your professional development while working alongside experienced and passionate colleagues.Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. SOUNDS INTERESTING? Join us in shaping the future of AI-powered retail experiences. We look forward to meeting curious minds, innovative thinkers, and passionate problem-solvers who are eager to make an impact from day one. Department Engineering Locations London, Munich, Berlin Remote status Hybrid Employment type Full-time London Munich Berlin About Mapp Digital Emerged from Mapp’s successful cross-channel marketing solution and Webtrekk’s proven customer intelligence tool, we have created an insight-led customer experience platform – unlike anything in the market. Mapp has offices all over the world, including USA, London, Paris, Berlin, Munich and Milan. More than 250 employees around the globe work on Mapp’s technology to provide customers with actionable marketing insights that will help them deliver exceptional customer experiences. At Mapp, we also encourage employees to push the limits on what we deliver, both as individuals and as a company. Do you want to shape the future of marketing with us? If you’re tech-savvy, love helping customers be successful with technology, and always hunting for the next big deal, we want to have you on board! Founded in 2016 Co-workers 275