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Internship Chemical Engineering Data Science Jobs in Missouri

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Internship Chemical Engineering Data Science information

What is an internship in chemical engineering data science?

An internship in Chemical Engineering Data Science is a temporary position for students or recent graduates to gain hands-on experience applying data science techniques to chemical engineering problems. Interns work on projects involving data analysis, modeling, and simulation to optimize processes, improve efficiency, or solve real-world challenges in fields such as energy, pharmaceuticals, or manufacturing. This role provides valuable exposure to both chemical engineering concepts and advanced data science tools, preparing interns for careers at the intersection of these disciplines.

What types of projects can an intern expect to work on in a chemical engineering data science internship?

As a Chemical Engineering Data Science intern, you can expect to work on projects that combine data analysis with chemical process optimization. Typical tasks may include analyzing large datasets from lab experiments or manufacturing systems, developing predictive models for process improvement, and visualizing data to support decision-making. Interns often collaborate closely with chemical engineers, data scientists, and production teams, gaining exposure to both technical and practical aspects of the field. This hands-on experience can provide valuable insights into how data science drives innovation in chemical engineering.

What are the key skills and qualifications needed to thrive as an internship chemical engineering data science?

To excel in an Internship in Chemical Engineering Data Science, you typically need a background in chemical engineering, strong analytical abilities, and foundational knowledge of data analysis and statistics. Familiarity with programming languages such as Python or R, data visualization tools, and simulation software is often required. Effective communication, problem-solving skills, and the ability to collaborate within multidisciplinary teams set top candidates apart. These competencies are crucial for interpreting complex data, developing innovative solutions, and contributing to data-driven decision-making in engineering projects.

What is the difference between Internship Chemical Engineering Data Science vs Internship Chemical Engineering?

AspectInternship Chemical Engineering Data ScienceInternship Chemical Engineering
Required CredentialsRelevant coursework in chemical engineering and data science, possibly some programming skillsBasic chemical engineering knowledge, possibly some engineering coursework
Work EnvironmentData analysis labs, software development environments, research teamsProcess plants, laboratories, manufacturing facilities
Employer & Industry UsageTech companies, consulting firms, R&D departments in chemical industriesChemical plants, manufacturing companies, energy sectors

Internship Chemical Engineering Data Science focuses on applying data analysis and programming skills to chemical engineering problems, often in tech-driven environments. In contrast, Internship Chemical Engineering emphasizes traditional chemical processes and manufacturing. Both roles require foundational chemical engineering knowledge but differ in technical focus and work settings.

What are the most commonly searched types of Chemical Engineering Data Science jobs in Missouri?

The most popular types of Chemical Engineering Data Science jobs in Missouri are:

What are popular job titles related to Internship Chemical Engineering Data Science jobs in Missouri?

For Internship Chemical Engineering Data Science jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Internship Chemical Engineering Data Science jobs in Missouri look for?

The top searched job categories for Internship Chemical Engineering Data Science jobs in Missouri are:

Infographic showing various Internship Chemical Engineering Data Science job openings in Missouri as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Data Scientist

PB consulting

Saint Louis, MO โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


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.