Senior Data Scientist - Insurance Pricing & Risk (Remote)

Ladders; United States; Remote; USD 169,000 - 236,000; Full time

Benefits offered by this job

Healthcare plans

Life insurance

Disability benefits

401(k) matching

Wellbeing program

Paid holidays

Parental leave

Job summary

Ladders is seeking a Staff Data Scientist (Insurance Risk and Pricing) to join a leader in the Enterprise Technology space. This role will shape pricing and risk modeling strategy with a strong emphasis on insurance-focused analytics that improve underwriting decisions and profitability.

You will partner with cross-functional leaders to translate advanced analytics into practical business outcomes. The position requires technical leadership, mentoring, and the development of robust modeling and

Qualifications

• 10+ years of experience in data science, especially in insurance pricing or risk modeling.
• Proven technical leadership skills, including guiding complex projects and mentoring fellow data scientists.
• Experience developing, validating, and deploying GLM-based pricing models.
• Proficiency in Python and SQL, with GLMs, GBMs, and libraries like scikit-learn.
• Experience with experimental design, including A/B testing in high-traffic environments.
• Familiarity with cloud-based data platforms like BigQuery and MLOps practices.
• Master's or PhD in a quantitative field; actuarial science background is a plus.

Responsibilities

• Set the strategic vision for pricing and risk modeling and establish best practices.
• Mentor and provide technical guidance to junior data scientists.
• Design and implement GLM-based models for homeowners insurance pricing.
• Build advanced machine learning models to enhance underwriting and profitability.
• Create ensemble models to predict profitability and customer retention metrics.
• Leverage non-traditional data sources to inform localized risk assessments.
• Collaborate with cross-functional leaders to integrate data insights into business functions.
• Champion robust deployment practices and lead experimentation with emerging techniques.

Skills

Data science leadership

GLM-based pricing

Python & SQL

A/B testing

Cloud platforms (BigQuery)

MLOps practices

Insurance pricing / risk modeling

Education

Master's or PhD in a quantitative field

Actuarial science background

Tools

BigQuery

scikit-learn

MLOps

Job description

Ladders is seeking a Staff Data Scientist (Insurance Risk and Pricing) to join a leader in the Enterprise Technology space. This role will shape pricing and risk modeling strategy with a strong emphasis on insurance-focused analytics that improve underwriting decisions and profitability.

You will partner with cross-functional leaders to translate advanced analytics into practical business outcomes. The position requires technical leadership, mentoring, and the development of robust modeling and