Senior Data Scientist & Analytics Leader (Hybrid)

Great American Insurance Group; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) with company match

Paid time off and holidays

Tuition reimbursement

Job summary

Great American Risk Solutions seeks a Senior Business Intelligence Analyst to lead analytics delivery and data science initiatives. You will shape data strategy, build predictive models, and deliver actionable insights to underwriting and product teams.

This on‑site role requires collaboration across departments with one remote day. You will mentor junior staff, implement robust data pipelines, and drive analytics that scale with demand.

Qualifications

• Lead data science projects from design to production with minimal supervision.
• Strong data storytelling and ability to present to senior leaders.
• Experience with predictive modeling for underwriting, pricing, claims, or retention.

Responsibilities

• Lead modeling, validation, and deployment of predictive models.
• Design data pipelines and dashboards to track key metrics.
• Collaborate with actuarial, underwriting, and product teams to translate needs into specs.
• Ensure governance, bias testing, and regulatory compliance for models.
• Mentor junior analysts and promote analytics culture.

Skills

Python

scikit‑learn

XGBoost

LightGBM

SQL

Snowflake

Airflow

dbt

Tableau

Power BI

Communication to senior leaders

Education

Master’s in data science / statistics / CS / actuarial science

PhD preferred

Tools

AWS

Azure

GCP

Job description

Great American Risk Solutions seeks a Senior Business Intelligence Analyst to lead analytics delivery and data science initiatives. You will shape data strategy, build predictive models, and deliver actionable insights to underwriting and product teams.

This on‑site role requires collaboration across departments with one remote day. You will mentor junior staff, implement robust data pipelines, and drive analytics that scale with demand.