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Intern Python Data Science Jobs in Saint Louis, MO

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

Design, develop, and implement data science, machine learning, and AI solutions to address complex ... Experience with Python, R, or similar programming languages for data analysis and modeling.

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Intern Python Data Science information

See Saint Louis, MO salary details

$11

$21

$40

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

As of Sep 11, 2026, the average hourly pay for intern python data science in Saint Louis, MO is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

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 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 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 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.

What are the most commonly searched types of Python Data Science jobs in Saint Louis, MO?

The most popular types of Python Data Science jobs in Saint Louis, MO are:

Data Scientist

Brentwood, MO โ€ข On-site

Full-time

Posted 22 days ago


Key responsibilities

  • Analyze large and complex structured and unstructured datasets to identify trends, patterns, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address business problems.

  • Generate reports, dashboards, and analytical resources to communicate insights to stakeholders.


Job description

We are seeking a Data Scientist with strong experience in advanced analytics, statistical modeling, machine learning, and artificial intelligence. The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business teams to solve complex problems and deliver measurable business value.

Primary Responsibilities
  • Analyze large and complex structured and unstructured datasets from multiple internal and external sources to identify trends, patterns, correlations, and actionable insights.

  • Design, develop, and implement data science, machine learning, and AI solutions to address complex business problems.

  • Apply advanced statistical, mathematical, and analytical techniques to model data and support data-driven decision-making.

  • Perform exploratory data analysis (EDA) and develop high-quality datasets for statistical analysis and machine learning.

  • Integrate data from multiple sources and develop processes to consolidate, transform, and prepare data for analysis.

  • Design and define data structures and storage approaches for unstructured and diverse datasets, including how data is consumed, integrated, and managed.

  • Develop analytical models and algorithms to understand relationships and correlations across disparate datasets.

  • Identify data quality issues and provide guidance on data transformation, cleansing, and preparation for analytical use.

  • Generate reports, dashboards, datasets, and other analytical resources to communicate insights to business and technical stakeholders.

  • Translate complex business requirements and technical designs into data science and AI solutions aligned with organizational goals.

  • Collaborate closely with Data Analysts, Data Engineers, Business Stakeholders, and other technical teams to understand requirements and deliver effective solutions.

  • Review data pipelines and provide recommendations for data quality, performance, scalability, and optimization.

  • Develop reusable analytical processes, reporting solutions, and data products to support ongoing business needs.

  • Communicate analytical findings and recommendations clearly to both technical and non-technical stakeholders.

  • Provide guidance and coaching on data preparation, analytical techniques, and best practices when needed.

Required Qualifications & Experience
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or a related field.

  • Strong experience working with large, complex, structured, and unstructured datasets.

  • Strong knowledge of statistics, mathematics, data analysis, and predictive modeling.

  • Hands-on experience with machine learning and AI techniques.

  • Strong proficiency in SQL and experience working with databases or data warehouses.

  • Experience with Python, R, or similar programming languages for data analysis and modeling.

  • Experience performing exploratory data analysis, data preparation, transformation, and cleansing.

  • Experience integrating and analyzing data from multiple sources.

  • Strong understanding of data pipelines, data structures, and data engineering concepts.

  • Experience developing analytical models and translating business requirements into technical data science solutions.

  • Strong problem-solving and analytical skills, with the ability to investigate complex data relationships and identify meaningful insights.

  • Excellent communication skills with the ability to present complex analytical findings to both technical and non-technical audiences.

  • Experience collaborating with cross-functional teams, including Data Engineering, Data Analytics, Product, and Business teams.