About this Senior Associate, Data Scientist - AI Enablement role at Secretariat
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.
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.
Qualifications
- Bachelor’s or master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative or technical discipline.
- 2–4 years of experience in data science, analytics, business intelligence, or a related technical role, with experience delivering solutions in a professional or client-facing environment.
- Demonstrated experience with Power BI and Databricks, including data modeling, data preparation, analytics, visualization, and production-oriented data workflows.
- Experience with AWS and AI/LLM infrastructure, including cloud architecture, APIs/integrations, access controls, monitoring, deployment, and production support. AWS certification is strongly preferred; relevant certifications include AWS Certified
A rewarding career above all
There are a lot of fine consulting firms out there. But when everything is on the line, it takes a unique combination of skill and savvy to succeed under pressure.
Our culture and people are driven by passion, pride, and performance. Passion for the clients we serve, the work we deliver, and the communities we live in. Pride in our cohesive team recognized for excellence and trusted to perform in the most challenging situations. And our track record of outstanding performance across all of our disciplines speaks for itself.
Our people are motivated to be the best in everything they do – from our approach to making the complex simple to the way we mentor our up-and-coming talent to become trusted experts early in their careers.
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