Data Analytics & AI Intern - RiverSource

Ameriprise Financial Services, LLC
Minneapolis, Minnesota, United StatesPosted Sep 10, 2026
Year-round

About the role

About Our Company

We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses – Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

Job Description

Please note that applications will be assessed on a rolling basis. Due to anticipated interest, the role may close earlier than the stated deadline. We recommend submitting your application promptly. The advertised closing date is September 25, 2026.

About the Role

Join RiverSource as a Data Analytics & AI Intern and gain valuable hands-on experience applying data and emerging technologies to solve real business challenges. Working alongside experienced professionals across analytics, operations, insurance, and project teams, you will transform data into actionable insights that help leaders make informed, strategic decisions. We are seeking a curious and motivated student who enjoys working with data, is eager to learn, and has a genuine interest in how analytics and AI can drive innovation, improve processes, and create business value.

Key Responsibilities

Review business and operational data to identify trends, questions, and opportunities for improvement. Help create or improve dashboards, reports, scorecards, or visuals that make information easier to understand. Partner with team members to learn how data supports insurance, operations, and leadership decision-making. Explore practical ways AI or automati

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