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About the Role
We are seeking a Principal Data Scientist with deep clinical or healthcare and life sciences expertise, strong Azure Machine Learning experience, and hands-on Databricks capability. In this client-facing consulting role, you will help healthcare organizations design, develop, evaluate, and operationalize advanced analytics and AI solutions across modern cloud data platforms. You will work at the intersection of data science, clinical context, cloud architecture, and enterprise delivery. You will help clients move from experimentation to measurable business and clinical impact while ensuring solutions are secure, explainable, reproducible, and aligned to healthcare standards and stakeholder expectations.
Responsibilities
- Lead the design and delivery of data science solutions for healthcare and life sciences use cases, including clinical analytics, predictive modeling, operational intelligence, population health insights, and workflow optimization.
- Design machine learning workflows using Azure Machine Learning, including experimentation, model training, model registry, deployment, monitoring, evaluation, and lifecycle management.
- Build and guide ML solutions on Databricks, using notebooks, feature engineering, MLflow, Delta Lake, and scalable data pipelines to support healthcare AI and analytics use cases.
- Translate business and clinical questions into data science problem statements, develop modeling approaches, validate outputs, and partner with engineering teams to productionize solutions.
- Assess clinical and operational data readiness, identify data gaps, define feature strategies, and establish repeatable approaches for lineage, quality checks, and model reproducibility.
- Define model evaluation strategies that address performance, bias, explainability, safety, drift, PHI considerations, and stakeholder trust.
- Serve as a senior advisor to clinical, technical, and executive stakeholders, helping them understand tradeoffs, risks, value drivers, and practical adoption paths for AI and ML solutions.
- Mentor data scientists and engineers while contributing reusable healthcare ML patterns, Databricks accelerators, Azure ML templates, and delivery best practices for Insight.
Requirements
- 10+ years of experience in data science, machine learning, healthcare analytics, AI solution delivery, or enterprise data platforms, ideally in a consulting or client-facing advisory role.
- Strong understanding of healthcare data, clinical workflows, operational healthcare analytics, provider environments, patient data, or life sciences use cases.
- Hands-on experience with Azure Machine Learning, including experiment tracking, model management, deployment patterns, monitoring, and integration with broader Azure services.
- Strong experience with Databricks for data engineering, analytics, feature development, MLflow, Delta Lake, and collaborative data science workflows.
- Strong foundation in predictive modeling, NLP, classification, regression, clustering, feature engineering, experiment design, and model validation.
- Experience operationalizing ML models with CI/CD, version control, model registry, reproducibility, monitoring, and governance practices.
- Familiarity with model transparency, AI risk management, PHI-sensitive environments, auditability, and healthcare-specific governance expectations.
- Strong executive communication skills with the ability to simplify technical concepts and shape practical, business-aligned AI roadmaps.
Skills
- Azure ML
- Databricks
- Data Science
- Machine Learning
- Healthcare Analytics
- AI Solution Delivery
- Enterprise Data Platforms
- Predictive Modeling
- NLP
- Classification
- Regression
- Clustering
- Feature Engineering
- Experiment Design
- Model Validation
- MLOps
- CI/CD
- Version Control
- Model Registry
- Reproducibility
- Monitoring
- Governance
- Responsible AI
- PHI
- Executive Communication
Location
- Remote
Work Type
- Fully Remotely
Experience Level
- Principal
- 10+ years
Education Level
- Microsoft / Azure: Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Solutions Architect Expert, or relevant Microsoft AI and data certifications.
- Databricks: Databricks Machine Learning Professional, Databricks Data Engineer, or lakehouse-related certifications.
- Healthcare / Governance: HIPAA, Responsible AI, clinical analytics, or AI governance training is a plus.
Benefits
- We’re legendary for taking care of you, your family and to help you engage with your local community.
About the Company
- 14,000+ engaged teammates globally
- $8.2 billion in revenue in 2025
- Certified as a Great Place to work in 9 Countries in 2025
- Fortune 500 Company (No. 447) in 2025
- Received 25+ industry and partner awards in the past year
- $1.4M+ total charitable contributions in 2024 by Insight globally
- At Insight, we celebrate diversity of skills and experience so even if you don’t feel like your skills are a perfect match - we still want to hear from you!
Equal Opportunity
- Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.