Associate, AI-Driven Data Engineer

KKR; New York (NY); Vor Ort; USD 145.000 - 165.000; Vollzeit

Benefits dieser Stelle

Discretionary bonus

Zusammenfassung

KKR is seeking a data scientist/engineer for its Insurance Data Science team in New York. The role involves developing predictive models for policy transactions, pricing, and risk forecasting, plus building AI-enabled data pipelines and validation tools.

You will collaborate with data engineering and risk teams to implement AI solutions and improve efficiency, with a focus on agentic AI applications. A quantitative degree and 3–5 years of experience are required.

Qualifikationen

• Bachelor's or master's degree in computer science, data science, statistics, or related quantitative field.
• 3-5 years of industry experience as data engineer or data scientist.
• Strong programming in Python and SQL with or without AI tools.
• Knowledge of database design and data infrastructure.
• Experience deploying AI applications to production is a plus.

Aufgaben

• Own AI-assisted data reconciliation system and ETL.
• Manage complex data projects with enterprise data engineering teams.
• Use AI tools to develop data pipelines and validation tools.
• Build AI-native applications to solve data problems.
• Perform ad hoc data analysis.
• Potentially build advanced ML models leveraging big data and HPC tools.

Kenntnisse

Python

SQL

Data analysis

Communication

Proactive

Deadline driven

AI tools

Agentic AI deployment

Big-data tools

Ausbildung

Bachelor's or Master's in CS/DS/Statistics

Tools

Claude Code

Jobbeschreibung

KKR is seeking a data scientist/engineer for its Insurance Data Science team in New York. The role involves developing predictive models for policy transactions, pricing, and risk forecasting, plus building AI-enabled data pipelines and validation tools.

You will collaborate with data engineering and risk teams to implement AI solutions and improve efficiency, with a focus on agentic AI applications. A quantitative degree and 3–5 years of experience are required.