Data Scientist

present of AI; New York (NY); On-site; USD 120,000 - 170,000; Full time

Job summary

present of AI is seeking an analytics-focused candidate who can turn fuzzy business questions into testable hypotheses, pull and interpret data, and drive data-informed decisions across growth, product, and partnerships. The role emphasizes experiment design, metric definition, and strong SQL/Python skills within a fast-moving AI-driven insurance/product environment.

Candidates should have a few years of analytical work from consulting, banking, or tech.

Qualifications

• Strong data analytics background across consulting, banking, or fast-moving tech companies.
• Experience owning problems from framing to decision.
• Ability to work across growth, product, and partnerships domains.

Responsibilities

• Take fuzzy business questions, break into clear hypotheses, and pull and interpret data independently.
• Measure outcomes, report findings, and inform decisions.
• Practice experiment design and metric definition to improve key metrics.

Skills

SQL

Python

Job description

This role asks for someone who can take a fuzzy business question, break it into clear hypotheses, and then pull and interpret the data independently. A strong candidate brings a few years of analytical work from consulting, banking, or a fast moving tech company, plus a habit of owning problems from framing through to a decision. The work spans growth, product, and partnerships, so comfort moving between domains matters more than deep specialization in one.

How it fits the AI era

The company sells an AI driven advisor for insurance and car ownership, so the data work sits close to the product itself. Much of the routine pulling, reporting, and first pass analysis can be sped up with AI tools, which shifts the value toward framing the right question, judging what the numbers mean, and persuading people to act. The human part is the judgment and the clear communication that turns a finding into a decision.

How it builds AI experience

Working here means gaining hands on exposure to how AI features perform in a real consumer finance product, from measuring outcomes to testing what actually moves key metrics. A candidate can build that by practicing experiment design and metric definition, and by getting comfortable with SQL and Python on messy real data. Reading up on how AI driven recommendations and pricing work in insurance would sharpen the questions asked in interviews.

Worth showing

• SQL and Python fluency
• Metric definition

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Jerry

A free app that uses AI to shop car insurance across 100+ insurers, per the company, and manage the rest of car ownership, maintenance, recalls and refinancing, in one place.