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Internship Text Analytics Jobs in Minnesota (NOW HIRING)

Internship Text Analytics information

What is an internship in text analytics?

An Internship in Text Analytics is a temporary position, often taken by students or recent graduates, where individuals gain practical experience working with techniques to extract meaningful information from large volumes of text data. Interns typically learn how to use natural language processing (NLP) tools, analyze textual datasets, and support projects involving sentiment analysis, topic modeling, or information retrieval. These internships provide hands-on exposure to real-world problems, allowing interns to develop their technical skills and understand how text analytics is applied in industries such as marketing, healthcare, or finance.

What types of projects can an intern expect to work on in a text analytics internship?

As a Text Analytics intern, you can expect to work on projects involving data cleaning, natural language processing, and sentiment analysis. Typical tasks may include extracting insights from large datasets, building or improving machine learning models, and visualizing textual data to support business decisions. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world applications and agile development environments. These projects provide hands-on experience with industry-standard tools and help you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as an internship in text analytics, and why are they important?

To thrive as a Text Analytics Intern, you need a solid background in data analysis, natural language processing (NLP), and statistics, often supported by coursework in computer science or a related field. Familiarity with programming languages like Python, machine learning libraries (such as NLTK or spaCy), and data visualization tools is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and share insights clearly with teams. These skills are crucial for extracting meaningful information from text data and supporting data-driven decisions within the organization.

What is the difference between Internship Text Analytics vs Data Analyst Intern?

AspectInternship Text AnalyticsData Analyst Intern
Required SkillsText processing, NLP basics, data visualizationData analysis, Excel, SQL, basic statistics
Work EnvironmentTech companies, research labs, marketing firmsBusiness, finance, healthcare sectors
Common UsageAnalyzing unstructured text data, sentiment analysisInterpreting structured data, reporting

Internship Text Analytics focuses on analyzing unstructured text data using NLP techniques, while Data Analyst Interns work primarily with structured datasets and statistical tools. Both roles are common in tech and business environments, but they emphasize different data types and skills.

What are popular job titles related to Internship Text Analytics jobs in Minnesota?

For Internship Text Analytics jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Internship Text Analytics jobs?

Cities in Minnesota with the most Internship Text Analytics job openings:

Infographic showing various Internship Text Analytics job openings in Minnesota as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Lead Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

$112K - $193K/yr

Full-time

Retirement

Re-posted 29 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 888 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
This role is a senior, hands-on AI/ML engineering position focused on building, enhancing, and integrating Machine Learning and Generative AI solutions within Databricks.
Working in office if based in MSP or DC
Primary Responsibilities:
  • Designing and implementing ML models
  • Creating custom embeddings
  • Building RAG pipelines
  • Implementing vector databases
  • Developing agentic workflows with LangChain
  • Integrating AI into enterprise applications for Claims Payment Integrity (PI)
  • The role partners closely with Data Scientists, Product Teams, and Platform Teams to deploy AI-driven intelligence across PI use cases
  • Contribute to experimentation with novel ML and Generative AI architectures
  • Create and maintain embedding models (domain-specific embeddings, document/text embeddings)
  • Support Retrieval-Augmented Generation (RAG) solutions, including semantic search, vector databases, and LLM integration
  • Help design and implement AI-powered enterprise applications
  • Analyze large datasets to identify trends, patterns, and actionable insights
  • Partner with AI/ML Engineers and Leads to enhance existing models and improve model accuracy and performance
  • Optimize AI pipelines for scalability, performance, reliability, and cost efficiency
  • Integrate AI/ML solutions into enterprise systems by partnering closely with data engineering, product, and platform teams
  • Collaborate effectively with cross-functional teams and stakeholders, communicating complex technical concepts clearly
  • Contribute to skill development for engineers and interns in AI/LLM techniques
  • Comply with company policies, procedures, and directives

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's/Master's in CS, Engineering, Mathematics/Statistics, or related
  • 5+ years of experience as a Data Scientist
  • 5+ years of relevant experience, including strong ML end to end model development (data prep → feature creation → training → evaluation)
  • 5+ years of experience with Python, Scala, SQL
  • 3+ years of Databricks, Spark
  • 2+ years of experience with LLM & GenAI Skills:
    • Creating custom embedding models
    • Building RAG pipelines
    • Vector DBs & semantic search
    • Using LangChain for agentic workflows (tools, agents, memory)
    • Experience with OpenAI/Azure OpenAI APIs
    • Experience with Azure cloud for compute, security, and resource management
    • CI/CD familiarity using Git, GitHub Actions/Jenkins, Terraform
    • Excellent communication and partnership skills
  • Experience with Actuarial, Risk and Forecasting Models

Preferred Qualifications:
  • Experience with healthcare claims data
  • Experience with Azure, Databricks, Snowflake, LLMs and/or similar tools
  • Demonstrated problem-solving, and analytical thinking skills
  • Demonstrated organizational skills with ability to be flexible and work with ambiguity

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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