Data Scientist

We're working with a leading independent actuarial and consulting firm that develops and deploys category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT, and life sciences clients.

The Role

• Research, develop, deploy, and maintain traditional AI/ML models following industry best practices.
• Work extensively with available GenAI models; construct exciting 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.

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 (Supervised Learning, Unsupervised Learning, Model Validation, Deep Learning Architectures, NLP Algorithms).
• Expert understanding of NLP and generative AI, able to effectively use, fine-tune, and evaluate commercially available models.
• Hands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks, or GenAI-powered internal tools).
• Expert level Python programmer, with some experience in R and/or SQL.
• Expert user of Databricks or similar cloud-based model development ecosystem.
• Sufficient understanding of software engineering best practices such as Git for version control, unit testing, local development, and environment management.
• Knowledge of ML Engineering and ML Ops related concepts and tools including CICD pipelines, GitHub Actions, Docker, AWS Lambda, and Linux.

What's On Offer

• Competitive compensation and benefits.
• Strong entrepreneurial and collaborative culture of innovation and excellence.
• Opportunities for growth in skillset, responsibilities, and career.
• Investment in skills training and career development with access to learning and mentoring opportunities.

Apply via Haystack today!