Junior Data Scientist

Job not on LinkedIn

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🇺🇸 United States – Remote

💵 $75k - $85k / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

👻 Ghost score 0%

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Great American Insurance Group

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🛡️ Insurance

🤝 B2B

Insurance • B2B

Great American Insurance Group is a U. S. -based specialty insurance company that provides a wide range of commercial insurance products and services to businesses and niche industries. With more than 150 years of history and headquarters in Cincinnati, Ohio, Great American offers tailored coverages including property & inland marine, equine mortality, transportation, professional liability, trade credit, cyber risk, and employer health solutions through numerous specialty divisions and international branches. It is a group of insurance companies that are subsidiaries of American Financial Group and emphasizes financial strength, claims expertise, and industry-focused underwriting for primarily business customers.

📋 Description

• Analyze large, complex datasets to identify trends, patterns, and opportunities • Design, develop, and deploy predictive models for underwriting, pricing, claims, and customer retention • Design and implement data pipelines and automated reporting tools • Collaborate with actuarial, underwriting, claims, and product teams to translate business problems into data science solutions • Communicate data insights and recommendations to leadership through data storytelling and visualization • Monitor and maintain model performance and ensure data quality and integrity • Explore new data sources, modeling techniques, and technologies to enhance business performance • Collaborate with data engineers to ensure data quality, accessibility, and scalability • Perform other duties as assigned

🎯 Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Actuarial Science, or a related quantitative field or equivalent work experience is required • No prior work experience is required • Proficient in techniques for optimizing models, machine learning, and in analytical programming languages • Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, XGBoost, LightGBM) • Familiarity with cloud platforms (AWS, Azure, or GCP) and data pipeline tools (e.g., Airflow, dbt) • Familiar with geospatial data, telematics, or catastrophe modeling • Proficiency in data visualization tools (e.g., Tableau, Power BI) and dashboard development • Developing knowledge of department policies and procedures • Developing knowledge of industry trends and technologies, regulatory requirements, and model governance in insurance • Must be authorized to work in the United States without the need for current or future sponsorship

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Wellness plans • Parental leave • Adoption assistance • Tuition reimbursement • Paid Time Off • Paid holidays • 401(k) plan with company match • Employee stock purchase plan • Commuter benefits