Senior Data Scientist

We are seeking an experienced Senior Data Scientist with strong expertise in traditional AI/ML, Generative AI, LLMs, NLP, and RAG to develop and deploy commercially viable data science solutions across healthcare, insurance, life sciences, and related industries.

• 5+ years of hands-on experience developing and deploying AI/ML models and commercial data science solutions.
• Strong expertise in Generative AI, LLMs, NLP, RAG, model fine-tuning, evaluation, and local LLM integration.
• Experience with traditional ML algorithms, including supervised/unsupervised learning, regression, decision trees, XGBoost, clustering, anomaly detection, and model validation.
• Strong experience in Python, with knowledge of R and SQL.
• Hands-on experience with Electronic Health Records (EHR), unstructured data analysis, and healthcare data.
• Proficiency in Databricks, MLflow, model experimentation, data catalogs, and cloud-based ML development.
• Knowledge of Deep Learning, Transformers, Neural Networks, and NLP techniques (NER, embeddings, sentiment analysis).
• Understanding of MLOps, CI/CD, Git, GitHub Actions, Docker, AWS Lambda, Linux, and unit testing.
• Experience collaborating with Product, ML Engineering, IT, and Business Development teams to deliver scalable AI solutions.
• Strong communication, client-facing, problem-solving, project management, and team collaboration skills.

Preferred Qualifications:

• Master’s Degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Healthcare, Insurance, Life Sciences, FinTech, or InsurTech industry experience.
• Experience working in HIPAA, PHI, and PCI-compliant environments.
• Actuarial designation (FCAS/FSA) is a plus.