AI and Data Science Engineer III
Our Deloitte AI & Engineering team works 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 AI and Data Science Engineer III on the AI & Data team, you will be responsible for...
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:
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.
Work you'll do
As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for...
- Supporting the design, development, and deployment of data science and analytics solutions for government and public sector clients
- Performing entity resolution across datasets by identifying, matching, and consolidating records that refer to the same real-world entities
- Training, tuning, and validating supervised and unsupervised machine learning models that produce case-level risk scores from structured inputs
- Engineering and analyzing features from structured and unstructured data to support model performance and downstream risk analysis
- Collaborating with data engineers, analysts, and project teams to deliver sprint commitments, resolve blockers, and support client-facing deliverables
- 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
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:
- 2+ years of applied data science experience
- 4+ years of experience using Python and Structured Query Language (SQL) with structured and unstructured data
- 4+ years of experience performing entity resolution or record linkage using deterministic and probabilistic matching techniques
- 4+ years of experience training, tuning, and validating supervised and unsupervised machine learning models that generate risk or propensity scores from structured inputs
- Current Top Secret (TS) clearance
- Ability to travel 0-25%, 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.
- Experience engineering features from resolved entity, case, or transactional data
- Experience selecting algorithms for classification, regression, or anomaly detection use cases
- Experience evaluating model performance against defined metrics and acceptance criteria
- Experience working with case-level risk detection, fraud detection, or investigative analytics use cases
- Experience working in an Agile delivery environment, including sprint-based delivery and backlog refinement
- Experience communicating analytical findings, model behavior, and technical risks to technical and client stakeholders
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.
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