Data Scientist - AI-Driven Portfolio Analytics

People In AI; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

People In AI partners with high‑growth AI and machine learning companies to connect talent with senior roles in investment environments. This Data Scientist will support diligence and value‑creation initiatives across diverse industries and portfolio companies.

You will collaborate with deal teams, executives, and leadership to deliver data‑driven insights, develop production‑ready analytics, and translate findings into strategic business actions that enhance performance and retention.

Qualifications

• Has hands-on data science experience in consulting, private equity, analytics, or commercially oriented environments.
• Ability to independently frame ambiguous business problems before executing tasks.
• Experience implementing production‑quality analyses and prototypes using Python-based tools.
• Comfort communicating business impact to technical and non-technical stakeholders.
• Familiarity with cloud data platforms (Databricks or Snowflake) and dashboarding tools.

Responsibilities

• Support live investment diligence with rapid, decision‑grade analyses across datasets.
• Partner with investment teams to identify growth opportunities and risks.
• Build analytics and AI solutions for portfolio companies with measurable impact.
• Develop proofs-of-concept for churn, revenue optimization, pricing, and demand forecasting.
• Collaborate with portfolio leadership to embed analytics into business processes.

Skills

Python

Data science

Production analytics

Tableau

Power BI

Databricks

Snowflake

Tools

Databricks

Snowflake

Tableau

Power BI

Job description

People In AI partners with high‑growth AI and machine learning companies to connect talent with senior roles in investment environments. This Data Scientist will support diligence and value‑creation initiatives across diverse industries and portfolio companies.

You will collaborate with deal teams, executives, and leadership to deliver data‑driven insights, develop production‑ready analytics, and translate findings into strategic business actions that enhance performance and retention.