Job description

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As an Analytics and Insights Engineer III on the AI & Engineering team, you will be responsible for: • Integrate large-scale client data and conduct statistical analyses supporting 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 across healthcare, financial, and mass tort data • Manage large or unstructured data in Amazon Web Services (AWS) GovCloud using data lakes, serverless computing, AWS Lambda, and extract, transform, and load (ETL) practices • Develop automated, reproducible, and auditable workflows for data collection, processing, statistical analysis, and reporting; identify automation opportunities that improve efficiency and accuracy • Train client personnel on dashboards, analytical tools, and AI-assisted workflows; provide reference materials and ongoing support to promote responsible AI use • Independently review statistical estimates and machine-learning evaluations performed by team members, including population selection, assumptions, calculation logic, and interpretation A successful candidate would possess these skills: • 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 and dynamic environment • Strong interpersonal skills and professional demeanor • Ability to meet deadlines • Ability to provide clear guidance to others The team Deloitte’s Government & Public Services (GPS) practice – our people, ideas, technology and outcomes – is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. Qualifications Required: • 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 natural language processing (NLP) for unstructured data • 2+ years of experience manipulating unstructured data from multiple platforms and using Tableau, Power BI, Qlik, or Elastic X-Pack for data visualization; experience using Structured Query Language (SQL) for database administration or SQL programming • Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Preferred: • Experience with Amazon Web Services (AWS) big data and analytics services, including Amazon SageMaker, Amazon Athena, Amazon Aurora, Snowflake, and cloud-based data pipelines • Experience applying Section 508 or Web Content Accessibility Guidelines (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 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,000 to $188,400. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Requirements

Must-haves

Work you'll do
As an Analytics and Insights Engineer III on the AI & Engineering team, you will be responsible for:
Integrate large-scale client data and conduct statistical analyses supporting investigative, litigation, and claims-management needs
Manage large or unstructured data in Amazon Web Services (AWS) GovCloud using data lakes, serverless computing, AWS Lambda, and extract, transform, and load (ETL) practices
Develop automated, reproducible, and auditable workflows for data collection, processing, statistical analysis, and reporting; identify automation opportunities that improve efficiency and accuracy
Train client personnel on dashboards, analytical tools, and AI-assisted workflows; provide reference materials and ongoing support to promote responsible AI use
Independently review statistical estimates and machine-learning evaluations performed by team members, including population selection, assumptions, calculation logic, and interpretation
A successful candidate would possess these skills:
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 and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Bachelor’s degree

Nice-to-haves

Experience with Amazon Web Services (AWS) big data and analytics services, including Amazon SageMaker, Amazon Athena, Amazon Aurora, Snowflake, and cloud-based data pipelines
Experience applying Section 508 or Web Content Accessibility Guidelines (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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlawspythonsqlaccessibility

Platform: avature
Effort: medium