Internship - Knowledge Science
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Before you apply
LocationOkemos, MI
Work moderemote · United States
Typeinternship
SeniorityEntry
Company size501–1,000 people
PostedSep 22, 2026 · 1mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Pursuing a degree in Computer Science, Computer Engineering, or related technical fields
Be self-motivated and able to contribute in a team setting
Excel at problem solving, with strong analytical and critical thinking skills
Demonstrated experience programming in at least one of the mainstream languages such as Java, Python, C++, etc.
Show solid skills in data structure and algorithms design/analysis
Good understanding of software architecture, Object-Oriented (OO) analysis/design, and commonly-used design patterns such as factory, composite, etc.
Demonstrate understanding of core mathematical concepts for Computer Science, such as mathematical logic, set theory, etc.
Must be currently enrolled in an undergraduate or graduate program and have completed at least one course or equivalent experience with programming in Java, Python, C++, or other similar languages
Skills
Java
Python
C++
REST
JSON
Kafka
containerization
Job Title:
Internship - Knowledge Science
Number of Positions:
1
Location:
Okemos, MI
Location Specifics:
Hybrid Position
Job Summary:
This internship is scheduled to start Fall Semester 2026.
About the company
At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities for all. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.
At Delta Dental, we celebrate our All In culture. It’s a mindset, feeling and attitude we wrap around all that we do – from taking charge of our careers, to helping colleagues and lending a hand in the community.
We are looking for highly talented and motivated undergraduate or graduate students who are pursuing a degree in Computer Science, Computer Engineering, or related technical fields.
Responsibilities
As a Knowledge Science Intern, you will:
•
Work on cutting-edge knowledge-based computation platforms
•
Contribute to next-generation Al-enabled business rules frameworks, including Decision Modeling/Orchestration, Decision as a Service (DaaS), Domain Specific Language (DSL), etc.
•
Gain first-hand experience on modern system architecture, such as Service-Oriented Architecture (SOA), Event-Driven Architecture (EDA) and enabling technology such as REST, JSON, Kafka, containerization, etc.
•
Apply the fundamentals from Computer Science/Engineering curriculum onto real-world problems.
•
Communicate your work to other teams and develop your skills explaining technical subjects to a business audience
Requirements
A successful candidate will:
•
Be self-motivated and able to contribute in a team setting
•
Excel at problem solving, with strong analytical and critical thinking skills
•
Have demonstrated experience programming in at least one of the mainstream languages such as Java, Python, C++, etc.
•
Show solid skills in data structure and algorithms design/analysis
•
Have good understanding of software architecture, Object-Oriented (00) analysis/design, and commonly-used design patterns such as factory, composite, etc.
•
Demonstrate understanding of core mathematical concepts for Computer Science, such as mathematical logic, set theory, etc.
Minimum Requirements:
Must be currently enrolled in an undergraduate or graduate program and have completed at least one course or equivalent experience with programming in Java, Python, C++, or other similar languages.
Legal
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.
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