About the position
We are seeking an experienced Data Scientist to join our AI &; Data > Science team, with a > strong emphasis on modern data engineering and platform-based > development. This role > focuses on building scalable, production-grade data and machine > learning pipelines that > power analytics, predictive models, and AI-driven insights across the > firm, including work > within our Databricks environment.
Requirements
• 5+ years of experience in data science, data engineering, applied machine learning, or advanced analytics roles
• Advanced proficiency in Python, with demonstrated experience building production- grade data, ML, or GenAI pipelines
• Hands-on experience working with Generative AI or LLM-based systems, including prompt design, evaluation, and application integration
• Strong grounding in data analysis, statistics, and exploratory analysis
• Experience translating business or domain questions into analytical approaches and communicating insights to non-technical stakeholders
• Strong hands-on experience with Databricks (Spark, notebooks, jobs, Delta Lake) in a production environment
• Solid understanding of data modeling, ETL/ELT patterns, and distributed data processing
• Experience deploying and maintaining machine learning models in production environments
• Excellent communication skills, with the ability to explain complex technical concepts clearly
Nice-to-haves
• Experience with MLflow, model registries, and experiment tracking
• Familiarity with version control and deployment workflows for data, ML, and GenAI solutions
• Experience with RAG architectures, vector databases, or semantic search
• Familiarity with GenAI evaluation techniques, including human-in-the-loop review
• Knowledge of SQL and data warehousing concepts
• Experience supporting talent analytics, people analytics, executive assessment, or professional services use cases
• Ability to design analyses and narratives appropriate for senior consultant and executive audiences
• Experience working in regulated or enterprise environments with an emphasis on reliability, governance, and trust
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