Data Scientist

Attune; United States; Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Flexible PTO

Parental and caregiver leave

401(k) matching

Health, dental, vision plans

Remote-first culture

Job summary

Attune, a data-driven insurer, seeks a senior data scientist to translate business needs into analytical approaches across underwriting and customer experience. You will develop predictive models, analyze customer behavior, and collaborate with engineering to deploy insights.

Applicants should have 5+ years in data science with Python and SQL, and ideally familiarity with Bayesian methods and P&C data. The role supports a hybrid/remote US-based work setup with strong data infrastructure support.

Qualifications

• 5+ years in data science, analytics, or statistics roles.
• Able to translate business needs into analytical approaches with cross-functional teams.
• Hands-on with predictive modeling using regression, classification, clustering.
• Familiarity with Bayesian/hierarchical modeling is a plus.
• Proficiency in Python and SQL.
• Bonus: familiarity with P&C insurance data and industry modeling challenges.

Responsibilities

• Partner with teams across the business—from Underwriting to Customer Experience—to translate goals into analytical approaches.
• Analyze customer and broker behavior to improve engagement, retention, and conversion.
• Investigate business problems and test hypotheses using rigorous data exploration.
• Develop predictive models and statistical analyses to support pricing, reserving, underwriting, and claims initiatives.
• Explore new internal and third-party datasets and incorporate them into models and dashboards.
• Operationalize work by integrating models into tools and workflows used by other departments.
• Help improve internal data infrastructure, ETLs, data tools or APIs, and reporting dashboards.
• Support ad-hoc data requests and deep dives for quick answers and longer-term opportunities.

Skills

Data science experience

Python programming

SQL querying

Predictive modeling

Cross-functional collaboration

Tools

Python

SQL

Bayesian modeling

Job description

Requirements

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. You’ll 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. This includes segmentation, churn analysis, 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. You’ll apply a mix of statistical and machine learning techniques (e.g., regression, classification, clustering) to solve complex business problems with real-world 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, including helping to maintain and enhance ETLs, develop internal data tools or APIs, and 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.

QUALIFICATIONS:

• 5+ years of experience in a data science, analytics, or statistics-focused role
• 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:

• Time Off: Flexible PTO
• Family Support: Generous parental and caregiver leave
• Financial Wellness: 401(k) matching
• Health: Comprehensive medical, dental, and vision plans
• Environment: Remote-first culture with dedicated support for distributed teams

LOCATION INFORMATION:

This role offers the option to be hybrid (Dallas, Denver, New York City, Omaha) or fully remote. Remote team members must reside and work within the United States and maintain access to reliable, high-speed internet.

Attune Insurance is an equal opportunity employer regardless of race, color, gender, age, sexual orientation, gender identity, gender expression, religious beliefs, marital status, genetic information, national origin, disability, protected veteran status, or any other basis protected by federal, state, or local law