Intern - Data Science and Generative A.I.

Ameritas Life is seeking a Data Science and Generative A.I. Focused Intern to drive the business through exposure to cutting-edge Generative AI solutions that harness the power of natural language processing (NLP), natural language understanding (NLU), and computer vision. This role will gain exposure to implementing advanced machine learning models, with a strong focus on language models. Learn to create and use algorithms that extract meaningful insights from diverse data sources, enabling informed decision-making across the organization. This role will consult with internal teams/areas to consult on their existing processes and find ways to use A.I. to improve or streamline those processes.

At Ameritas, our mission is Fulfilling Life. We do that in many ways, but especially by helping people invest in themselves by offering trusted financial products and advice. Because we believe everyone should be happy, healthy, and financially secure, we work hard to provide trusted financial products and valued guidance, including individual life and disability insurance, employee benefits, retirement planning, investments, and wealth management services.

This is a hybrid role working partially in-office (Lincoln, NE) and partially from home.

This internship would be scheduled to start January 2027. This is not a summer only internship. We are looking for a 12-month (or longer) internship relationship. Work hours will fall between 8 am to 5 pm (Central Time) Monday-Friday. Candidate must be able to work 15-20 hours per week during the school year, flexing up to 30-40 hours per week during the summer months.

What You Do

• Learn to design and develop A.I. solutions using a variety of open source, closed source, and commercial tools.
• Gain knowledge on how to fine tune and train existing base models, implement RAG solutions, and provide technical expertise for language model architectures.
• Participate in the A.I. development life cycle learning best practices and standards.
• Participate in complex projects as an individual contributor.
• Work closely with other technical team members to support their efforts.

What You Bring

• Must be actively enrolled in a relevant degree program including:
• Business Analytics
• Statistics
• Mathematics
• Actuarial Science
• Data Science
• Economics
• Business or Finance
• Ability to learn and follow industry best practices required.
• Ability to work with both business and IT partners required.
• Desire to research and learn new technologies and frameworks required.
• Experience or exposure to Generative AI, small & large language model architectures, neural networks, computer vision, deep learning, language models, or transformers strongly desired.
• A solid understanding of machine learning and GenAI workflows including ingesting data, analyzing and transforming data, and evaluating the results for meaningful outcomes desired.

What we offer

• Our company motto is "Fulfilling Life" and we take that job seriously, with a heavy commitment to volunteering and community support, employee well-being, and providing quality products and services that help our customers create a brighter future.
• Being a mutual-based organization, the return on our investment goes back into the company, to benefit our members/customers.
• We're committed to professional development, opportunity, inclusion, and diversity. Team building and collaboration are also priorities.

This internship is not benefits eligible.

An Equal Opportunity Employer

Ameritas has a reputation as a company that cares, and because everyone should feel safe bringing their authentic, whole self to work, we're committed to an inclusive culture and diverse workplace, enriched by our individual differences. We are an Equal Opportunity/Affirmative Action Employer that hires based on qualifications, positive attitude, and exemplary work ethic, regardless of sex, race, color, national origin, religion, age, disability, veteran status, genetic information, marital status, sexual orientation, gender identity or any other characteristic protected by law.

Application Deadline

This position will be open for a minimum of 3 business days or until filled.

This position is not open to individuals who are temporarily authorized to work in the U.S.