Data Science Intern – Summer 2027

National Life Insurance • Addison, TX

1d

About The Position

National Life Group’s AI Center of Excellence (AICoE) uses machine learning, advanced analytics, and generative AI to transform the business and enhance customer experience. The Data Science Intern will contribute to AICoE projects, applying computer science and data science techniques to business challenges. Projects may include supporting predictive models and testing or improving generative AI solutions. The intern will work with AI and data science practitioners, technical experts, and business partners, primarily in National Life’s Databricks environment, to develop and evaluate data-driven solutions.

This is a 10-week paid internship running June 1 through August 6, 2027. The program includes orientation and onboarding, networking with peers and leaders, a cross-departmental enterprise project presented at a company-wide event, presentation-skills coaching, learning opportunities, and access to mentors who are former program participants. National Life does not offer visa sponsorship for this position.

Requirements

• Currently pursuing a bachelor’s or master’s degree in computer science, data science, mathematics, statistics, or a related field.
• Strong Python programming skills and experience with 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.
• Strong communication skills and ability to work collaboratively in a team environment.
• Curiosity and eagerness to learn about real-world applications of modern AI technologies and foundational statistical methods.
• Ability to review and validate AI-generated content and maintain accountability for the accuracy, quality, fairness, and integrity of work products.
• No visa sponsorship is offered for this position.

Nice To Haves

• Exposure to Apache Spark, PyTorch, or TensorFlow.
• Coursework or projects integrating generative AI APIs into software.

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 development and evaluation of statistical and machine-learning models; compare results with established baselines and investigate 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 enable 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.
• Collaborate with AI and data science practitioners, technical experts, and business partners.
• Use approved AI tools appropriately, review and validate AI-generated content, and follow company policies regarding confidentiality, privacy, security, compliance, retention, and intellectual property.

Benefits

• Paid 10-week internship.
• Formal orientation and onboarding.
• Networking opportunities with peers and leaders throughout the summer.
• Cross-departmental group project focused on an enterprise-wide solution, presented at a company-wide event.
• Presentation-skills coaching sessions.
• Learning opportunities throughout the program.
• Access to mentors who are former program participants.
• Potential eligibility for medical, financial, and other benefits, including 401(k) eligibility and paid time off benefits such as vacation, sick time, and parental leave; dependent on the position offered.
• Potential eligibility to participate in discretionary annual incentive programs, subject to program rules.

What This Job Offers

• Career Level: Intern