Senior Data Scientist - Analytics and Insights Engineer III

Deloitte’s AI & Engineering team helps clients turn complex, large-scale data into investigative and predictive insights. In this onsite role in Baltimore, MD, you’ll build AI/ML solutions, automate analytics workflows, and support responsible, auditable use of data and models across domains such as healthcare, financial, and mass tort data.

What you’ll do

• Integrate large-scale client data and conduct statistical analyses that support investigative, litigation, and claims-management needs.
• Design and implement artificial intelligence and machine learning (AI/ML) solutions, including supervised and unsupervised models, for anomaly detection, predictive analytics, and investigative insights.
• Work with large or unstructured data 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, and identify automation opportunities to improve efficiency and accuracy.
• Train client personnel on dashboards, analytical tools, and AI-assisted workflows, and provide reference materials and ongoing support to promote responsible AI use.
• Independently review statistical estimates and machine-learning evaluations produced by team members, including population selection, assumptions, calculation logic, and interpretation.

Qualifications

• 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 using supervised and unsupervised learning, including natural language processing (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 based on work, clients, and served industries/sectors
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Technology areas

• Python, R
• Amazon Web Services (AWS), AWS GovCloud, AWS Lambda, data lakes, serverless computing, ETL
• Tableau, Power BI, Qlik, Elastic X-Pack
• SQL, natural language processing (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 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

Additional strengths

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

Compensation

Salary range: USD 113,000 to 188,400 per year. Discretionary annual incentive program eligibility may apply, subject to program rules.