Lead Data Scientist

We are working with a global leader in actuarial science and technology, recognized for developing and deploying category-defining, data-driven SaaS products for the insurance, health IT, and life sciences sectors. This company fosters an entrepreneurial and collaborative culture where innovation and excellence are paramount, offering significant opportunities for professional growth and development.

The Role

• Research, develop, deploy, and maintain traditional AI/ML models following industry best practices
• Construct solutions with GenAI models to enhance internal capabilities and address market 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 within the data science team through planning, audit, and peer review

What You'll Need

• 10+ years of professional experience using AI/ML to create commercial data science solutions
• Expertise with Electronic Health Records or unstructured data analysis
• Demonstrable capability in building traditional AI/ML models (supervised, unsupervised, deep learning architectures)
• Expert understanding of NLP and generative AI, including effective use, fine-tuning, and evaluation of commercial models
• Hands-on experience building GenAI applications (e.g., RAG systems, LLM evaluation frameworks)
• Expert level Python programming, with some experience in R and/or SQL
• Expert user of Databricks or similar cloud-based model development ecosystems
• Knowledge of software engineering best practices (Git, unit testing, local development) and ML Engineering/ML Ops concepts

What's On Offer

• An entrepreneurial and collaborative culture of innovation and transparency
• Competitive compensation and comprehensive benefits
• Significant opportunities for skills training, career development, and mentoring
• A voice in the company and a challenging environment to push your full potential

Apply via Haystack today!