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Internship Insurance Data Analytics Jobs in Alabama

Certificates in Excel, Copilot data processing, Tableau, or related analytics methods Schedule: M-F ... ESOP participation, 401(k) match, medical, dental, vision, life insurance, short-term disability ...

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Internship Insurance Data Analytics information

What are the key skills and qualifications needed to thrive as an insurance data analytics intern?

To thrive as an Insurance Data Analytics Intern, you need a solid understanding of statistics, data analysis, and basic insurance concepts, often supported by coursework in mathematics, economics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is typically expected. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing insurance data, supporting business decisions, and contributing meaningful insights to the team.

What types of projects can I expect to work on during an insurance data analytics internship?

As an Insurance Data Analytics intern, you will typically assist with analyzing large datasets to identify trends, assess risk factors, and support decision-making for underwriting or claims teams. Your daily tasks might include data cleaning, building dashboards, and generating reports using tools like Excel, SQL, or Python. You'll likely collaborate closely with experienced data analysts, actuaries, and other departments to translate data insights into actionable business strategies. These projects offer valuable exposure to industry-standard analytics practices and contribute to real business outcomes.

What is an internship in insurance data analytics?

An Internship in Insurance Data Analytics is a temporary position for students or recent graduates to gain practical experience analyzing data within the insurance industry. Interns typically assist with collecting, interpreting, and presenting data to help insurance companies make informed decisions about risk, pricing, and customer trends. The role often involves using statistical tools, working with large datasets, and supporting data-driven projects. It provides valuable exposure to both the insurance sector and the field of data analytics, helping interns develop technical and professional skills.
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AI/ML Engineer / Data Scientist

American Operations Corporation

Montgomery, AL โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

Supports AI/ML-enabled analytics, predictive maintenance analysis, anomaly detection, operational trend analysis, and data-driven modernization initiatives across the BMx FoS. This role evaluates and develops AI/ML use cases aligned to Government priorities while ensuring all AI/ML activities remain operationally safe, technically supportable, and compliant with Government governance requirements.

The AI/ML Engineer/Data Scientist works closely with Product Owners, Functional SMEs, Help Desk personnel, System Architects, DevSecOps personnel, and operational stakeholders to analyze Help Desk trends, defect patterns, maintenance workflows, operational reporting anomalies, and modernization candidates. This role may support predictive analytics, automated test generation, operational dashboard enhancement, workload forecasting, and maintenance trend analysis.

Within BMx, AI/ML activities are governed carefully to ensure operational mission support, cybersecurity controls, and Government data rights requirements remain protected throughout AI/ML experimentation and implementation.

Requirements

Must possess DoD Secret Clearance.

Technical Skills

· Python

· Machine learning

· NLP

· Data analytics

· Predictive modeling

· AI/ML governance

Certifications

Preferred:

· AI/ML certifications

· Cloud AI certifications

Experience

· 5+ years AI/ML or data analytics experience.

· Experience supporting enterprise operational analytics preferred.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability