Senior Data Scientist - Analytics and Insights Engineer III

Deloitte’s AI & Engineering team is seeking an Analytics and Insights Engineer III to support investigative and predictive analytics across multiple client domains. In this onsite role in Washington, DC, you will connect large-scale client data to AI/ML solutions, produce automated and auditable analytics workflows, and help clients use dashboards and AI-assisted processes responsibly.

What you’ll do

• Integrate large-scale client data and perform statistical analyses that support investigative, litigation, and claims-management needs
• Design and implement AI/ML solutions, including supervised and unsupervised models, for anomaly detection, predictive analytics, and investigative insights across healthcare, financial, and mass tort data
• Work with large or unstructured datasets in AWS GovCloud using data lakes, serverless computing, and AWS Lambda, applying ETL practices to support analytics
• Develop automated, reproducible, and auditable workflows for data collection, processing, statistical analysis, and reporting, identifying automation opportunities to improve efficiency and accuracy
• Train client personnel on dashboards, analytical tools, and AI-assisted workflows, providing reference materials and ongoing support to promote responsible AI use
• Independently review statistical estimates and machine-learning evaluations prepared by team members, including population selection, assumptions, calculation logic, and interpretation

Skills and experience

• Bachelor’s degree
• Ability to obtain and maintain the required clearance for this role
• 5+ years of professional experience applying data science, statistics, or mathematics using Python, R, or another analytical or statistical programming language
• 4+ years of experience developing and training custom AI/ML models using supervised and unsupervised learning, including NLP for unstructured data
• 2+ years of experience working with unstructured data from multiple platforms and using Tableau, Power BI, Qlik, or Elastic X-Pack for visualization, along with SQL for database administration or SQL programming
• Ability to travel 10–15% on average, based on client needs and industries/sectors served
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies and tools

• Python, R
• AWS GovCloud, data lakes, serverless computing, AWS Lambda, and ETL
• Tableau, Power BI, Qlik, Elastic X-Pack, and SQL
• NLP, AI/ML
• Amazon SageMaker, Amazon Athena, Amazon Aurora, Snowflake, and cloud-based data pipelines
• Section 508, WCAG
• dbt, Apache Airflow, Dagster

Preferred background

• Experience with AWS big data and analytics services, including Amazon SageMaker, Amazon Athena, Amazon Aurora, Snowflake, and cloud-based data pipelines
• Experience applying Section 508 or WCAG standards to dashboards and data visualizations
• Experience using dbt, Apache Airflow, or Dagster for data transformation and pipeline orchestration
• Experience applying AI/ML methods in litigation-support or other legally sensitive environments
• Experience building data visualizations and presenting quantitative concepts to nontechnical audiences
• Experience independently reviewing statistical or machine-learning analyses, including assumptions, methodology, and interpretation

How you’ll show up

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines and provide clear guidance to others

Compensation: USD 113,000 - 188,400 per year.

Location: Washington, DC (onsite).