AI and Data Science Engineer (TS/SCI Poly)

Deloitte’s AI & Engineering team helps government and public sector clients transform technology platforms, modernize operations, and improve decision-making. The AI and Data Science Engineer will design, develop, and deploy machine learning, artificial intelligence, advanced analytics solutions, data pipelines, models, and analytical products while collaborating with technical teams and client stakeholders.

Responsibilities

• Designing, developing, and deploying machine learning, artificial intelligence, and advanced analytics solutions for government and public sector clients
• Building, testing, and maintaining data pipelines, models, and analytical workflows that support scalable and reliable delivery
• Translating business and mission requirements into technical designs, prototypes, and production-ready solutions
• Collaborating with engineers, data scientists, product teams, and client stakeholders to implement data-driven capabilities
• Supporting solution optimization, model performance monitoring, documentation, and continuous improvement activities

Preferred

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
• Experience supporting federal, state, or local government clients
• Experience with Extract, Transform, Load (ETL) processes, application programming interfaces (APIs), or data integration tools
• Experience with model monitoring, MLOps, or production support processes
• Experience using Git, CI/CD pipelines, or containerization tools
• Experience creating dashboards, reporting solutions, or analytical products for business users
• Government client experience
• ETL processes
• APIs
• Data integration tools
• Model monitoring
• MLOps
• Production support
• Git
• CI/CD pipelines
• Containerization tools
• Dashboard creation
• Reporting solutions
• Analytical product development

Benefits

• 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.
• Opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship.
• On-the-job learning experiences and formal development programs.

Company

• Audit, tax, consulting, and financial advisory services
• London, England, GBR
• https://www2.deloitte.com/
• Founded in 1845
• 10001+ employees

Qualifications

• 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 in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Active TS/SCI Polygraph security clearance required
• 4+ years of experience developing and deploying machine learning, artificial intelligence, or advanced analytics solutions
• 3+ years of experience using Python and Structured Query Language (SQL) for data analysis, model development, or data engineering
• 2+ years of experience working with cloud platforms, data pipelines, or model deployment environments
• Experience using machine learning frameworks or libraries such as scikit-learn, TensorFlow, or PyTorch
• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
• Experience supporting federal, state, or local government clients
• Experience with Extract, Transform, Load (ETL) processes, application programming interfaces (APIs), or data integration tools
• Experience with model monitoring, MLOps, or production support processes
• Experience using Git, CI/CD pipelines, or containerization tools
• Experience creating dashboards, reporting solutions, or analytical products for business users

Required skills

• APIs, Active TS/SCI Polygraph Security Clearance, Advanced Analytics, Artificial Intelligence, ETL Processes, MLOps, Machine Learning, PyTorch, Python, SQL, TensorFlow, scikit-learn

Experience

• 4+ years