Senior Data Scientist - Analytics and Insights Engineer III

Deloitte’s AI & Engineering team is seeking an Analytics and Insights Engineer III to integrate and analyze large-scale client data, build AI/ML solutions, and deliver automated workflows that support investigative and predictive analytics. This role is based in Baltimore, MD (onsite) and offers a salary range of USD 113,000 - 188,400 per year, with potential eligibility for a discretionary annual incentive program based on program rules.

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 using supervised and unsupervised methods 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, AWS Lambda, and ETL practices
• Create automated, reproducible, and auditable workflows for data collection, processing, statistical analysis, and reporting; surface automation opportunities to improve efficiency and accuracy
• Train client personnel on dashboards, analytical tools, and AI-assisted workflows, including the use of reference materials and ongoing support to promote responsible AI use
• Independently review statistical estimates and machine-learning evaluations completed by team members, including population selection, assumptions, calculation logic, and interpretation

Required 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/statistical programming language
• 4+ years developing and training custom AI/ML models with supervised and unsupervised learning, including NLP for unstructured data
• 2+ years manipulating unstructured data from multiple platforms and using Tableau, Power BI, Qlik, or Elastic X-Pack for data visualization
• Experience using SQL for database administration or SQL programming
• Ability to travel 10-15% on average for client work and the industries/sectors served
• Legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies you’ll use

• Python, R
• AWS, including AWS GovCloud, AWS Lambda, and data lakes
• Serverless computing and ETL
• Tableau, Power BI, Qlik, Elastic X-Pack
• SQL and NLP

Preferred experience

• 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 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 presenting quantitative concepts and building data visualizations for nontechnical audiences
• Experience independently reviewing statistical or machine-learning analyses, including assumptions, methodology, and interpretation

Additional success factors

• Independently deliver results while collaborating as part of a team
• Strong written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to lead projects or workstreams and manage multiple priorities in a fast-paced environment
• Ability to provide clear guidance to others and build professional relationships
• Strong interpersonal skills, professional demeanor, and deadline focus