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Intern Python Data Science Jobs in Kansas City, MO

The role blends applied data science, large language model (LLM) evaluation, prompt and workflow ... Proficiency in Python, and experience prototyping and iterating quickly alongside a product team.

The role blends applied data science, large language model (LLM) evaluation, prompt and workflow ... Proficiency in Python, and experience prototyping and iterating quickly alongside a product team.

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

Prepares data for various business use cases including data science, prescriptive and predictive ... Python/PySpark. * Ability to work in a team environment and independently as * Ability to work ...

Bachelor's degree in Information Systems, Statistics, Data Science, or related fields * Minimum of ... Demonstrated experience with SQL, Python, and/or R for data extraction, manipulation, analysis, and ...

The Data Scientist role focuses on turning clinical conversations into accurate, useful ... Python, and experience prototyping and iterating quickly alongside a product team. Company

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Intern Python Data Science information

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How much do intern python data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for intern python data science in Kansas City, MO is $21.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $23.94 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Python Data Science, and why are they important?

To excel as an Intern Python Data Science, you should have a solid grasp of Python programming, statistics, and foundational data analysis concepts, typically supported by coursework or academic projects in data science or related fields. Familiarity with tools like Jupyter Notebook, Pandas, NumPy, and basic machine learning libraries such as scikit-learn is commonly expected. Curiosity, problem-solving, and the ability to communicate findings clearly are standout soft skills in this role. These competencies enable interns to effectively support data-driven projects, contribute to team goals, and develop practical experience essential for a future data science career.

What types of projects can I expect to work on as an Intern Python Data Science?

As an Intern Python Data Science, you will typically work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using Python libraries like pandas, NumPy, and scikit-learn. You may be tasked with supporting ongoing research, building data visualizations, or automating data collection processes. Collaboration with data scientists and engineers is common, offering opportunities to learn best practices in code review, version control, and teamwork. These experiences provide a solid foundation for more advanced roles in data science.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of Python intern?

The salary of a Python intern typically ranges from $15 to $25 per hour, depending on the location, company, and level of experience. Interns often receive stipends or hourly wages and may also gain valuable skills in Python programming, data analysis, and tools like Jupyter Notebook or Pandas during their internship.

Is 30 dollars an hour good for an internship?

For an intern in Python Data Science, earning $30 an hour is above average, as many internships pay between $15 and $25 per hour. This rate reflects the specialized skills in programming, data analysis, and tools like Python and Jupyter notebooks, and may indicate a more competitive or advanced internship position.

What does an Intern Python Data Science do?

An Intern Python Data Science assists data science teams with tasks such as data cleaning, analysis, and visualization, primarily using Python programming. They may work on projects involving data collection, processing, and building simple predictive models. Interns are also expected to learn and apply various data science techniques and tools, often under the guidance of experienced data scientists. This role provides hands-on experience and exposure to real-world data challenges, helping interns develop their technical and analytical skills.

What is the difference between Intern Python Data Science vs Intern Data Analyst?

AspectIntern Python Data ScienceIntern Data Analyst
Required SkillsPython, data analysis, machine learning basicsExcel, SQL, data visualization
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Common TasksData cleaning, modeling, scriptingData reporting, dashboard creation

Intern Python Data Science roles focus on programming, machine learning, and advanced data analysis, often in tech-driven environments. Intern Data Analyst positions emphasize data reporting, visualization, and basic analysis in business settings. While both roles require analytical skills, Intern Python Data Science roles demand coding proficiency, whereas Intern Data Analyst roles focus more on data presentation and interpretation.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter or SQL, regardless of age.
What are popular job titles related to Intern Python Data Science jobs in Kansas City, MO? For Intern Python Data Science jobs in Kansas City, MO, the most frequently searched job titles are:
What job categories do people searching Intern Python Data Science jobs in Kansas City, MO look for? The top searched job categories for Intern Python Data Science jobs in Kansas City, MO are:
Data Scientist

$2.5K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


WellSky rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies


Job description

The Data Scientist role focuses on turning clinical conversations into accurate, useful documentation, with deep emphasis on building and evaluating the model and agent workflows (the "harness") that make these solutions reliable. The role blends applied data science, large language model (LLM) evaluation, prompt and workflow engineering, and hands-on collaboration with product and clinical stakeholders to move ideas from prototype to trustworthy, production-ready capability.

Key Responsibilities:

  • Partner with the product team in an exploratory, iterative fashion to design and prototype an ambient listening and documentation solution for the Home Infusion and Ambulatory Infusion space.
  • Apply foundational and large language models to transform clinical audio and conversation into accurate, structured, and clinically useful documentation.
  • Design, build, and refine the agentic harness (prompts, workflows, tool orchestration, and guardrails) that drives reliable ambient documentation.
  • Develop rigorous evaluation frameworks to measure documentation accuracy, completeness, and clinical soundness, including gold-standard datasets, human review, error-mode analysis, and ongoing quality monitoring.
  • Rapidly prototype and test approaches, using evaluation results to guide iteration and inform product direction.
  • Collaborate with product, engineering, and clinical stakeholders to translate exploratory findings into production-ready capabilities.
  • Contribute to responsible AI practices, including appropriate handling of sensitive healthcare data and attention to safety in clinical documentation.
  • Perform other job duties as assigned.

Required Qualifications:

  • Bachelor's degree in a related field or equivalent work experience
  • 2 - 4 years related work experience

Preferred Qualifications:

  • Healthcare industry experience, especially with healthcare data.
  • Experience applying large language models or foundational models to speech, conversation, or documentation tasks.
  • Experience with cloud technologies, including modern API orchestrators
  • Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, human review, annotation, error analysis).
  • Experience with ambient documentation, speech-to-text, or clinical documentation workflows.
  • Familiarity with infusion, home health, or ambulatory clinical workflows.
  • Experience building agentic workflows, prompt engineering, or tool-orchestrated LLM applications.
  • Proficiency in Python, and experience prototyping and iterating quickly alongside a product team.

Job Expectations:

  • Willing to work additional or irregular hours as needed
  • Must work in accordance with applicable security policies and procedures to safeguard company and client information
  • Must be able to sit and view a computer screen for extended periods of time

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#LI-Onsite

WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.

WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.

Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.

Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:

  • Excellent medical with Rx, dental, and vision benefits

  • Mental Health support through EAP

  • Generous paid time off, plus 13 paid holidays

  • 100% vested 401(K) retirement plans

  • Educational assistance up to $2500 per year


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