Data Analyst/Scientist Intern - Omaha
14 hours ago

Job description
All Boston Mutual employees who interact with our policyholders, our producers, and our BML associates embrace the principles of our brand and service philosophy.
We are all brand ambassadors. Both our words and our behaviors matter.We share a common service philosophy and pride ourselves in living the BML brand promises every day, one interaction at a time.
The following statements represent what Boston Mutual stands "FOR" – it is what makes us different and better in the market we serve.
We are FOR being a progressive life insurance company offering financial peace of mind to working Americans and their families.
We are FOR making it easy to secure a level of financial protection with a portfolio of products – beginning with life insurance.
We are FOR providing a personalized customer experience to our policyholders and producers.We are FOR acting in the best interests of our policyholders, producers, employees and the communities in which we live and serve – representing the goodness of mutuality in all we do.
We do our best to:
Demonstrate a desire to assist
Listen for understanding and respond empathetically
Explain things in a manner that is easy to understand
Be knowledgeable students of our business
Take full ownership to resolve questions and issues
Be professional, polite and courteous
Leave our customers and associates "better than where we found them"
Summary of Position:
The Data Analyst/Scientist Intern reports directly to the Director – Data & Analytics.
The primary responsibilities of the intern include supporting exploratory AI and machine learning use cases, conducting data analysis, and contributing to data governance activities within the organization.
This role is designed to provide hands-on experience with real-world datasets and help identify opportunities for advanced analytics within a life insurance context.
The Data Analyst/Scientist Intern is expected to:
Assist in evaluating AI/ML models for specific business problems such as risk segmentation, lapse prediction, or sales behavior
Perform exploratory data analysis and data profiling to support hypothesis development and insights
Use tools such as Azure Databricks, Python, and SQL to support data transformation, modeling, and reporting
Contribute to data governance tasks such as metadata documentation, quality checks, and reference data reviews
Support ad hoc data requests and reporting needs using approved visualization platforms
Summarize relevant research or industry applications related to AI and insurance analytics
With guidance from the Director, may present findings to business stakeholders and leadership
Report to either the Canton, MA or Omaha, NE office based on assignment and follow that office's onsite working policy
Successfully complete a standard background check as part of the onboarding process
Education:
Currently pursuing a bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, Actuarial Science, or a related field.
Experience:
Prior internship or academic project experience in data analysis, machine learning, or data science preferred but not required.
Exposure to real-world datasets or participation in analytics competitions is a plus.
Knowledge Requirements:
Strong foundational knowledge of statistics, machine learning, or data mining techniques
Proficiency in Python or R for data analysis and modeling
Experience with SQL for querying structured data
Familiarity with Jupyter notebooks or similar development environments
Ability to clean, transform, and visualize data
Knowledge of data visualization tools (e.g., matplotlib, seaborn, Power BI, or Tableau)
Understanding of model evaluation techniques and performance metrics
Basic understanding of version control systems like Git
Curiosity and critical thinking in approaching open-ended problems
Ability to communicate findings clearly to both technical and non-technical stakeholders
Interest in the insurance or financial services industry is a plus
Familiarity with cloud platforms or tools (e.g., Azure, Databricks) is a bonus5-15 bullet points
Certifications/Licensures:
None required
Hybrid Work Model
At our Canton location, employees will be on site Monday - Thursday. At our Omaha location, employees will be on site 2 days per week.
Boston Mutual is an equal opportunity employer, and does not discriminate on the basis of race, color, age, religious creed, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, disability, military service, veteran status, family status, pregnancy, or any other characteristic protected by federal or state laws.
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