Principal Data Scientist
Skills
About the role
This is a principal data scientist consulting role at Insight, focused on clinical and healthcare/life sciences AI, with a preference for candidates near Nashville, TN. The role helps healthcare organizations design and operationalize generative AI, machine learning, and agentic AI solutions built on Google Cloud. It suits someone with 10+ years of experience in data science or applied AI delivery, ideally in consulting or enterprise client environments. This is a client-facing role bridging clinical stakeholders, engineering teams, and executive leadership.
What you’ll do
- Lead design of AI and ML solutions for healthcare use cases including clinical decision support and workflow automation
- Design and guide implementation of generative AI solutions using Vertex AI, Gemini, and RAG patterns
- Architect and prototype agentic AI solutions for clinical and operational workflows with human oversight
- Develop machine learning approaches for classification, prediction, summarization, and document intelligence
- Evaluate data quality, lineage, and clinical workflow fit before advancing AI use cases into production
- Define evaluation strategies for accuracy, bias, safety, drift, and explainability
- Serve as senior technical advisor to client leaders on AI roadmaps and business value
- Mentor data scientists, engineers, and consultants, and build reusable delivery playbooks
What they’re looking for
- 10+ years of experience in data science, machine learning, healthcare analytics, or applied AI delivery
- Strong understanding of clinical workflows, healthcare operations, and patient data
- Hands-on experience with Google Cloud AI and data services, especially Vertex AI, Gemini, and BigQuery
- Practical experience designing generative AI and agentic solutions including prompt engineering and RAG architectures
- Strong foundation in supervised and unsupervised learning, NLP, and production ML lifecycle practices
- Understanding of healthcare data sensitivity, PHI protection, and AI governance
- Exceptional communication skills for translating technical complexity to business audiences
Nice to have
- Google Cloud Professional Machine Learning Engineer or Professional Data Engineer certification
- Databricks Machine Learning or TensorFlow certification
- Certifications or training related to HIPAA, clinical analytics, or Responsible AI
Questions about this role
Where is this job located?
Nashville, TN area is preferred, with remote noted as an option in the posting details.
How many years of experience do I need?
10 or more years of experience in data science, machine learning, or applied AI delivery.
Does this role require healthcare experience?
Yes, strong understanding of clinical workflows and healthcare operations is required.
Related roles
Cloud Platform Engineer
A remote Canada-based cloud platform engineering role at Insight, building Azure and AWS infrastructure for enterprise clients.
Data Analyst - Data Quality & Databricks
A data analyst role centered on data quality, profiling and reconciliation using Databricks, SQL and PySpark, open across Bangalore, Chennai and Pune for candidates with 7-11 years of experience.
Data Scientist-Vice President-Finance Data & Analytics
A Vice President-level data science role at JPMorgan Chase in Columbus, Ohio, focused on financial analytics and AI tooling. Suits an experienced financial analytics professional skilled in SQL, cloud platforms and Databricks.
Lead Data Engineer – Databricks & AI | Remote Canada
Lead data engineer role for a financial services client, requiring 10+ years of Databricks expertise and experience collaborating with AI/ML teams to build scalable data infrastructure.
Senior Data Scientist / Lead Data Scientist
A senior/lead data scientist role at Celebal Technologies across Noida, Jaipur or Bengaluru, leading enterprise AI/ML and generative AI delivery.
Principal Database Engineer – SQL Server & AI Data Infrastructure
A fully remote, US-based principal database engineering role modernizing SQL Server platforms and building AI-enabled data infrastructure. Suited to a senior technical expert who wants deep hands-on ownership rather than management.