Palantir AI and Data Science Engineer

Join Deloitte's AI & Engineering team to help clients modernize technology platforms, accelerate innovation, and drive meaningful business outcomes. In this role, you will work alongside multidisciplinary professionals to design and deliver modern data solutions that support enterprise transformation. You will help build scalable platforms, analytics products, and data pipelines that enable mission-focused results and measurable client impact.

Work you'll do

As an AI and Data Science Engineer on the AI & Data team, you will be responsible for...

• Design and engineer secure, automated data pipelines from authoritative source systems into a centralized analytics environment using Palantir Foundry and cloud-based technologies.
• Build and deploy scalable data engineering solutions that enable digital transformation goals and support mission-critical decision-making.
• Develop prototype MVP dashboards, analytics views, and workflow applications tailored to high-priority functional domains and operational needs.
• Integrate, transform, and operationalize enterprise data to deliver analytics products that improve reporting, visibility, and user adoption across the organization.
• Collaborate with cross-functional stakeholders to gather requirements, lead technical workshops, resolve issues, and demonstrate solutions through client-facing presentations and demos.
• Apply data modeling, ETL, DevOps, and statistical programming practices to improve data quality, platform performance, automation, and operational efficiency.
• Support the implementation of AI-enabled workflow applications and agentic solutions to enhance automation and decision support.
• Contribute to solution design and delivery in secure environments, ensuring alignment with clearance requirements and enterprise data governance standards.

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
• 1+ years of experience in data science, data manipulation, or data analysis
• 1+ years of experience working with Palantir Foundry, Palantir Gotham, or no code/low code platforms
• Active Secret security clearance required
• Ability to travel 5-25%, 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

Preferred:

• 2+ years of experience with pipeline and application development within Palantir Foundry
• 3+ years of experience in professional services or federal consulting
• Experience translating technical concepts for nontechnical audiences
• Experience evaluating and applying new technologies, products, or libraries
• Experience producing written communications for technical and nontechnical stakeholders
• Experience organizing and managing multiple deliverables

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