Data Science Intern – Summer 2027
About The Position
At National Life Group, we are unlocking the power of data and AI to transform our business and enhance customer experience. Our AI Center of Excellence (AICoE) is leading this effort through innovations in machine learning, advanced analytics, and generative AI. As a Data Science Intern, you will contribute to projects within our AI CoE. You’ll gain hands-on experience applying computer science and data science techniques to real business challenges. Projects may range from supporting the development of predictive models to testing and enhancing generative AI solutions. This is a unique opportunity to explore both traditional data science methods and emerging AI technologies while working in a collaborative, mission-driven environment.
Requirements
- Currently pursuing a bachelor’s or master’s degree in computer science, data science, mathematics, statistics, or a related field.
- Strong programming skills in Python, with experience using data analysis or machine-learning libraries such as pandas and scikit-learn.
- Working knowledge of SQL, including querying, joining, and aggregating data to prepare and validate datasets for analysis and modeling.
- Familiarity with foundational statistical and machine-learning concepts, including regression, classification, model evaluation, and hypothesis testing.
- Curiosity and eagerness to learn about the real-world application of both modern AI technologies and foundational statistical methods.
- Strong communication skills and ability to work collaboratively in a team environment.
- Leverage approved AI tools, where appropriate, to improve the efficiency, quality, and impact of their work.
- Stay curious and open to new AI-enabled ways of working.
- Exercise sound judgment by reviewing and validating AI-generated content.
- Maintain accountability for the accuracy, quality, fairness, and integrity of work products by adhering to National Life's AI guiding principles.
- Use AI responsibly and in accordance with company policies related to confidentiality, data privacy, security, compliance, retention, and intellectual property.
Nice To Haves
- Exposure to Apache Spark, PyTorch, or TensorFlow is a plus.
- Coursework or projects integrating generative AI APIs into software is a plus.
Responsibilities
- Prepare, explore, and validate datasets and features for life insurance and annuity use cases such as surrender propensity, premium persistency, and policyholder behavioral analysis.
- Support the development and evaluation of statistical and machine-learning models, comparing results with established baselines and investigating errors and limitations.
- Help design experiments and analyze business outcomes using appropriate comparisons, sound statistical methods, and clear measures of success.
- Develop reusable Python and SQL workflows, including validation checks and documentation that allow others to review and reproduce the work.
- Prototype and evaluate generative AI applications, assessing output quality, source support, failure modes, and practical business usefulness.
- Apply responsible AI and data-handling practices, including appropriate treatment of sensitive information and validation of AI-generated outputs.
- Communicate findings and recommendations to technical and business audiences.
Benefits
- paid volunteer time
- environmentally sustainable and healthy workplaces
- 401(k) eligibility
- various paid time off benefits, such as vacation, sick time, and parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Associate degree
