Data Scientist

Role Overview

Attune is hiring a Data Scientist to apply advanced analytics, statistical modeling, and machine learning to support strategic decision-making. You’ll partner with stakeholders across Underwriting, Actuarial, Claims, Product, Revenue, and Customer Experience to turn business questions into analytical solutions that improve risk evaluation, operational performance, and customer outcomes.

Responsibilities

• Partner with cross-functional stakeholders to identify opportunities for data-driven decision-making.
• Translate business questions into analytical frameworks, hypotheses, and statistical approaches.
• Perform exploratory data analysis to uncover trends, anomalies, and improvement opportunities.
• Develop predictive models and statistical analyses for pricing, underwriting, claims, reserving, and operations.
• Apply ML methods such as regression, classification, and clustering.
• Evaluate and continuously improve models as data and business needs change.
• Explore internal and third-party data sources to improve model performance and derive insights.
• Collaborate with engineering/product teams to deploy models into production systems, dashboards, and workflows.
• Help implement MLOps practices (model versioning, deployment pipelines, monitoring, lifecycle management).
• Monitor for performance degradation, bias, or drift and improve as needed.
• Document assumptions, methodology, and validation processes for transparency and governance.
• Improve data infrastructure, ETL pipelines, and reporting architecture.
• Optimize dashboards and analytics tools used by business teams.
• Ensure data quality, consistency, and reliability across analytical workflows.
• Identify opportunities to automate recurring analyses and reporting.

Requirements

• 3–7 years of experience in data science, advanced analytics, or statistical modeling.
• Strong programming skills in Python and SQL.
• Experience with statistical modeling and machine learning.
• Experience with data visualization/BI tools such as Tableau, Power BI, or Looker.
• Ability to communicate insights clearly to business stakeholders.
• Advanced analytics experience with large datasets and complex analytical problems.

Preferred Qualifications

• MS or PhD in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, Economics, or related).

Location

• New York, NY