Data Scientist — Pricing & Underwriting (Remote)

Joinrs; Town of Italy (NY); Hybrid; USD 90,000 - 150,000; Full time

Benefits offered by this job

Full flexibility to work from home or office

Access to learning resources and mentorship

Private healthcare and gym discounts

Wellbeing programs and mental health support

Job summary

A leading motor insurance provider is searching for a Data Scientist to join their Italian Pricing & Underwriting team in New York. The role involves leveraging data and machine learning to shape pricing strategies and contribute to the company's growth. Candidates from all experience levels are encouraged to apply, with an emphasis on analytical skills and innovative thinking. Enjoy flexibility in your work location and benefit from supportive growth initiatives within a dynamic team.

Qualifications

• Strong academic background in Mathematics, Physics, Mathematical Engineering, Physical Engineering, Data Science, Informatics, Computer Engineering or Statistics.
• All experience levels welcome, including recent graduates with no prior work experience.
• Excellent quantitative, logical, and analytical skills.
• Curiosity, proactivity, and innovative thinking to drive new ideas and solutions.

Responsibilities

• Leverage Machine Learning and advanced data analytics to identify risks and set the right price for each client.
• Analyze and interpret complex data to support strategic decision‑making.
• Contribute directly to the company’s growth and long‑term success through actionable insights.

Job description

A leading motor insurance provider is searching for a Data Scientist to join their Italian Pricing & Underwriting team in New York. The role involves leveraging data and machine learning to shape pricing strategies and contribute to the company's growth. Candidates from all experience levels are encouraged to apply, with an emphasis on analytical skills and innovative thinking. Enjoy flexibility in your work location and benefit from supportive growth initiatives within a dynamic team.