gt-hq · Warsaw, Poland
Skills: Python, SQL
GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands. On behalf of our client, GT is looking for a Senior Applied Data Scientist interested in developing and testing new ML, embedding, and LLM-based approaches to solve complex data matching problems at scale. ABOUT THE CLIENT Our client is a leading global management consultancy known for tackling some of the world’s most complex business challenges. With a focus on strategy, transformation, and performance improvement, the firm partners with major organizations across industries to drive lasting impact. ABOUT THE ROLE We are looking for a Senior Applied Data Scientist to improve how entity resolution is performed at scale. You will develop and test new ML, embedding, and LLM-based approaches for matching complex business records across multiple data sources. The work is centered on model quality, experimentation, and evaluation; engineering partners will help productionize successful approaches. A key part of the role is exploring how newer foundation-model techniques can improve matching quality while remaining practical and scalable for very large datasets. RESPONSIBILITIES: Develop better ways to match company records - Build new ML, embedding, and LLM-based approaches for matching entities - Improve how the system handles messy data, including name variations, aliases, domains, websites, firmographic attributes, multilingual records, and data hierarchies. - Develop scoring and ranking approaches to distinguish accurate matches from duplicates, similar-looking records, and unrelated entities. - Evaluate and implement AI and machine learning techniques to improve matching quality while considering accuracy, scalability, and cost. - Design approaches that can operate efficiently at scale, taking model usage and computational cost into conside…
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