Lead Data Scientist

A world-leading actuarial science and technology consultancy creates and deploys category-defining, data-driven software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT, and life sciences clients. They offer an entrepreneurial and collaborative culture that values innovation, excellence, and transparency, ensuring employees have a voice and room for career growth. 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 Drive best practices and continuous improvement on the data science team, influencing model design and experimentation strategy Build upon data science, machine learning, and GenAI/NLP expertise to enhance existing products through new solutions Construct, validate, document, and deliver sophisticated GenAI and machine learning solutions for healthcare problems 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 Expert data scientist with demonstrable capability building traditional AI/ML models (e.g., supervised/unsupervised learning, deep learning, NLP) Expert understanding of NLP and generative AI, with hands-on experience building GenAI applications Expert level Python programmer, with experience in R and/or SQL Expert user of Databricks or similar cloud-based model development ecosystems Sufficient understanding of software engineering best practices (Git, unit testing, local development) Degree in a relevant field (computer science, data science, statistics, mathematics, actuarial science, economics) What's On Offer Entrepreneurial and collaborative culture with a focus on innovation and work-life balance Competitive compensation and benefits Opportunities for skills training, career development, and mentoring Employee Resource Groups (ERGs) and commitment to diversity and inclusion Apply via Haystack today!