Additional responsibilities include: Design, develop and deploy applications and analytics solutions that support client-advisory workflows, with a focus on making financial data more accessible and actionable across the firm; Develop subject matter expertise on key financial data elements and business workflows, and translate that understanding into technically sound solutions, making independent decisions on feasibility, tooling and architecture; Design and maintain clean, well-modeled datasets and analytics layers that enable business stakeholders to answer their own questions with confidence; Own data quality, documentation and reliability for the analytics products and pipelines you build, with a bias toward self-service and scalability; Stay current on advancements in AI and analytics technologies, and proactively identify opportunities to apply them to financial services workflows at PJT. In addition, qualified candidates will possess the following: 5+ years of data science, analytics engineering or data-heavy application development experience, with a track record of building and shipping production products; Proficiency in one or more programming languages such as Python, Julia, R or JavaScript/TypeScript; Experience with at least one public cloud platform (Azure, AWS or GCP); familiarity with Azure services a plus; Experience with CI/CD practices and source control tools such as GitHub or Azure DevOps; Strong SQL skills and experience working with data warehouses or analytical data platforms; experience with Snowflake or Databricks a plus; Familiarity with data modeling concepts and experience transforming raw data into clean, well-structured datasets for analytical use; Strong communication skills and ability to collaborate with non-technical stakeholders.