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!