Data Scientist

Attune; New York (NY); Remote; USD 160,000 - 170,000; Full time

Job summary

A leading insurance technology firm is seeking a Data Scientist to work collaboratively across various teams. You will utilize predictive modeling and statistical analyses to support business initiatives, improve internal data infrastructure, and provide actionable insights. Ideal candidates have experience in data science and proficiency in Python and SQL. The position offers a competitive salary of $160,000 to $170,000, along with company benefits including flexible PTO and remote-first culture.

Benefits

Flexible PTO

Generous parental and caregiver leave

401K match

Excellent medical, dental, and vision plans

Annual $1000 tuition reimbursement stipend

Qualifications

• Experience in a data science, analytics, or statistics-focused role.
• Hands-on experience with predictive modeling techniques.
• Familiarity with advanced statistical modeling is a plus.

Responsibilities

• Partner with teams to identify how data can drive better decisions.
• Analyze customer behavior to improve engagement and retention.
• Develop predictive models to support business initiatives.

Skills

Predictive modeling

SQL

Python

Statistical analysis

Anomaly detection

Education

Degree in a relevant field

Job description

Overview

Attune is making it easier, faster, and more reliable for small businesses to access insurance. We are changing the process by leveraging data and technology to understand risk, automate legacy processes, and enhance the user experience for brokers, delivering policies that are more tailored and transparent in minutes. Attune is dedicated to creating a diverse team of curious, focused, and motivated people who are excited about changing the future of the insurance industry.

Position Overview: As a Data Scientist at Attune, you will work closely with stakeholders across Actuarial, Underwriting, Claims, Product, Revenue, and Customer Experience. You will develop predictive models, test hypotheses, explore new data sources, and integrate your findings into the tools and workflows that power our business. You will also contribute to improving our internal data infrastructure, ETLs, and dashboards.

What You'll Do

• Partner with teams across the business—from Underwriting to Customer Experience—to understand their goals and identify how data can drive better decisions. Translate business needs into analytical approaches and communicate findings in a clear, actionable way.
• Analyze customer and broker behavior to improve engagement, retention, and conversion, including usage patterns and anomaly detection to flag unusual or risky behavior.
• Investigate business problems and test hypotheses using rigorous data exploration. Examples might include: what types of risks are associated with higher loss ratios? How do product usage patterns correlate with retention? Where can we find operational efficiencies?
• Develop predictive models and statistical analyses to support pricing, reserving, underwriting, and claims initiatives. Apply a mix of statistical and machine learning techniques (e.g., regression, classification, clustering) to solve real-world problems with impact.
• Explore new internal and third-party datasets, evaluate their usefulness, and incorporate them into models and dashboards to unlock new insights or increase model performance.
• Operationalize your work by integrating models into tools and workflows used by other departments. Collaborate with engineering and product to ensure insights are accessible, scalable, and reliable.
• Contribute to the improvement of our internal data infrastructure, helping to optimize our reporting and dashboarding ecosystem.
• Support ad-hoc data requests and deep dives, helping teams get quick answers to pressing questions and identifying longer-term opportunities for automation or model development.

What We're Looking For

• Experience in a data science, analytics, or statistics-focused role or degree in a relevant field
• Excited about working with business leads across many different functions to solve real day-to-day problems using data
• Hands-on experience with predictive modeling, including regression, classification, clustering, and other ML techniques
• Familiarity with advanced statistical modeling (Bayesian modeling, hierarchical models, etc.) is a plus
• Proficiency in Python and SQL
• Bonus: Familiarity with P&C insurance data and industry-specific modeling challenges

What We Offer

• Flexible PTO
• Generous parental and caregiver leave
• 401K match
• Excellent medical, dental, and vision plans
• Remote-first culture
• Annual $1000 tuition reimbursement stipend
• And more!

The expected annual salary for this position is between $160,000 and $170,000, with the opportunity to earn an annual bonus of up to 15% of the base salary.