Applied AI Data Scientist

We're working with a global provider of information-based analytics and decision tools for professional and business customers, serving clients in over 150 countries. The Role Help shape the next generation of AI-powered legal products and experiences by partnering with internal teams and enterprise stakeholders. Design, evaluate, and continuously improve AI capabilities for legal research, drafting, and decision-making. Frame problems, run experiments, design evaluation methodologies, and turn applied research into production-ready AI features. Work at the intersection of AI experimentation, developer enablement, evaluation, and customer engagement. Contribute a data science lens to model selection, retrieval quality, prompting strategy, and measurement. What You'll Need 6+ years of experience as a Data Scientist, Applied Scientist, or Machine Learning Engineer with a track record of shipping data-driven solutions. Strong foundation in statistics and experimental design, including hypothesis testing, A/B testing, and causal inference. Strong programming skills in Python (pandas, NumPy, scikit-learn) and SQL for large datasets. Hands-on experience developing and evaluating LLM-powered or machine learning solutions in production settings. Demonstrated ability to design rigorous evaluation methodologies and metrics for AI/ML systems. Practical experience with LLM techniques such as prompting, retrieval-augmented generation (RAG), and embeddings. What's On Offer Opportunity to work on cutting-edge AI for legal products. Engage directly with customers to understand and solve their real-world problems. Collaborative environment with AI engineers, machine learning engineers, and product teams. Contribute to the development of next-generation AI capabilities and evaluation standards. Apply via Haystack today!