Lead Data Scientist

A world-leading independent actuarial and consulting firm, operating across the insurance, health, and financial services sectors, is seeking a talented individual. This firm is renowned for developing and deploying category-defining, data-driven SaaS products, attracting top talent with its entrepreneurial and collaborative culture focused on innovation, excellence, and transparency.

The Role

• Research, develop, deploy, and maintain traditional AI/ML models following industry best practices
• Work extensively with available GenAI models, constructing solutions for internal and external use cases
• Coordinate with Product, Business Development, ML Engineering, and IT to bring new data science products to market
• Help drive best practices and continuous improvement on the data science team, influencing model design and experimentation strategy
  
  

What You'll Need

• 10+ years of professional experience using AI/ML to create high ROI commercial data science solutions
• Expertise with Electronic Health Records or unstructured data analysis, and demonstrable capability building traditional AI/ML models
• Expert understanding of NLP and generative AI, including effective use, fine-tuning, and evaluation of commercially available models
• Hands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks)
• Expert level Python programmer, with some experience in R and/or SQL
• Expert user of Databricks or similar cloud-based model development ecosystem (mlflow, data catalogs, compute cluster configuration)
  
  

What's On Offer

• Competitive compensation and benefits package
• Opportunities for skills training, career development, and mentorship
• Engaging, entrepreneurial, and collaborative work culture
• Chance to contribute to innovative, market-leading products in the insurance and health sectors
  
  

Apply via Haystack today!