Data Science and Advanced Analytics Internship - Summer 2027

Securian Financial•Saint Paul, MN

1d•Hybrid

About The Position

An internship with Securian Financial means an opportunity to create meaningful connections with established associates and fellow interns while exploring professional development in your field of study. Our interns are connected to work that matters, helping to drive and deliver value for our customers with the support of great Securian team members at your side. You’ll have the opportunity to interact with company leaders and learn from their career stories as well as get to know more about who we are as a company and the things we value – like our commitment to community through hands-on volunteer activities. It will be a summer you won’t forget, that lays the foundation for potential careers ahead. Join the Securian Financial team! At Securian, supportive leaders facilitate an environment where interns are provided mentoring and learning resources to acclimate them into the workspace. Teams work collaboratively to achieve milestones and improvements. Personal growth and development opportunities are prioritized and recognized. We encourage and celebrate involvement in Associate Resource Groups around various Diversity & Inclusion initiatives. Summer internships are intended for undergraduate students graduating in December ’27 or May ‘28. We are unable to pursue candidates who would require Visa sponsorship now or in the future. Applicants who apply to this posting will be considered for Data Science and Advanced Analytics internships. As an intern on the Enterprise Advanced Analytics team at Securian Financial, you will leverage data to drive business outcomes that align with Securian's Enterprise Vision and Operating Principles. You’ll work closely with business stakeholders to understand their business problems and apply a variety of data collection, analysis, visualization, and modeling techniques to address them. You will gain valuable experience using industry standard tools and technologies to cleanse, analyze and visualize data – and applying those skills to solve real business problems.

Requirements

Experience in R, Python, or related technologies.
Demonstrated communication and collaboration abilities.
Curiosity and desire to solve problems
Ability to work independently and adapt to change
Strong technical proficiency and an ability to learn quickly.
Strong moral and ethical compass, ensuring we provide fair, unbiased solutions that don’t harm our customers, associates, or our company/brand.

Nice To Haves

Pursuing a degree in Mathematics, Statistics, Computer Science, Analytics, Data Science, Economics or another relevant technical subject.

Responsibilities

Analyze large quantities of structured, semi-structured, and unstructured data to create actionable models and insights that drive business outcomes.
Communicate insights to business stakeholders through data visualization and presentations.
Work with a variety of internal stakeholder groups to understand their business challenges and translate them into data science and analytics products and solutions.
Design and implement measurement and testing strategies.
Translate business requirements to data collection strategies, in compliance with relevant governance and regulatory guidelines.
Utilize GenAI tools to solve business problems such as comment/text analysis, data extraction, or summarization.