Chart Your Journey at Secretariat

From a collaborative culture to teammates who will always be by your side, find a career that will grow with you. Deliver your impact at Secretariat.

Candidates must be legally authorized to work in the United States without current or future employer sponsorship. 

ABOUT THE FIRM 

Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world.

When you join Secretariat, you become part of a rapidly growing elite team of bright minds and passionate problem-solvers. Your skills and expertise will be utilized on day one – working with the world’s most renowned law firms, leading corporations, and influential institutions to answer complex questions that shape critical financial, economic, and strategic business decisions. 

Our globally integrated teams are united by the ambition, energy, and commitment they bring to every challenge. We inspire and empower an open, collaborative culture that embraces ongoing professional development, recognition, diversity, and – most importantly – you. 

 Make your impact at Secretariat. 

ABOUT OUR DATA SCIENCE – AI ENABLEMENT TEAM

Secretariat is seeking a Data Scientist to support both client-facing analytics and the firm’s internal AI initiatives. This role will help design, build, and operationalize data and AI solutions that improve analytical delivery, strengthen internal capability, and support secure, governed use of emerging technologies. 

Responsibilities 

• Develop and support client-facing analytics solutions, including business-intelligence dashboards, data models, large-scale data-processing workflows, and analytical deliverables, in partnership with engagement teams. 

• Build, enhance, and support the firm’s internal AI capabilities, including AI-enabled assistant tools, domain-specific analytical applications, and other large language model-powered solutions. 

• Design, prototype, test, and productionize AI-enabled and agentic workflows that automate repeatable business processes, including intake, triage, research, document review, retrieval, drafting, quality assurance, and escalation. 

• Support cloud-based AI infrastructure, including solution architecture, integrations, access controls, monitoring, security, responsible-AI practices, and production support. 

• Partner with IT and practice teams to translate business and client requirements into scalable data and AI solutions, coordinating access, configuration, deployment, troubleshooting, and handoffs. 

• Document solutions, workflows, and runbooks; monitor adoption and performance; and identify opportunities to strengthen internal AI capabilities, improve scalability, and support secure production use.