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Internship Python Data Science Jobs in Minnesota

RELX

Senior Data Scientist III

Minneapolis, MN

$115.40K - $192.30K/yr

Proficient user of Python, SQL, Pandas, and NumPy. * Competent user of Java. * Demonstrates proficiencies in Data Science and Machine Learning frameworks. Experience with Generative AI, OpenAI ...

RELX Group plc

Senior Data Scientist III

Minneapolis, MN · On-site

$115.40K - $192.30K/yr

Proficient user of Python, SQL, Pandas, and NumPy. * Competent user of Java. * Demonstrates proficiencies in Data Science and Machine Learning frameworks. Experience with Generative AI, OpenAI ...

Mortenson

Data Analyst - Finance

Minneapolis, MN · On-site

Required : • Bachelor's degree in Data Science, Economics, Mathematics, Statistics, Analytics, or ... Python, or R • Experience with analytics and visualization tools, including those noted earlier ...

New

RVO Health

Senior Data Scientist

Minneapolis, MN · On-site

$105K - $150K/yr

... measurable data science solutions * Stay current on state-of-the-art techniques and quickly ... Python skills; experience deploying models in production environments * Familiarity with deep ...

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Internship Python Data Science information

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

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.

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

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What are popular job titles related to Internship Python Data Science jobs in Minnesota? For Internship Python Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Minnesota look for? The top searched job categories for Internship Python Data Science jobs in Minnesota are:
Internship Python Data Science jobs near you
Senior Data Scientist III

Senior Data Scientist III

RELX

Minneapolis, MN

$115.40K - $192.30K/yr

Full-time

Posted 18 days ago

Job description

LexisNexis Risk Solutions

We develop industry-leading solutions that are pro-people, anti-fraud and abuse, and anti-crime to enable frictionless digital government. LexisNexis Risk Solutions cares about our world, and we would love for you to join our team if you want to help solve meaningful problems too

https://risk.lexisnexis.com

About the Role:

Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and cross-functional team of data scientists, product managers, strategists, and engineers. You would apply machine learning and AI technologies to execute analytical and statistical projects supporting all levels of government in civilian services, public health, and public safety. To successfully fulfill this position, you must be eager to learn with experience in data wrangling, data mining, statistical methods, modeling, machine learning, prompt engineering and generative AI techniques. You will support product development, research, and prototyping assignments. If you are a curious and collaborative data scientist who thrives in an innovative environment, then we would like to hear from you.

Responsibilities:

  • Must be a US Citizen or Greencard holder

  • Independently scope, execute and lead small scale projects. Independently execute for more complex projects.

  • Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and statistical measurements.

  • Extract, clean and design large and complex datasets to support analysis and product deliveries. Apply statistical techniques to conduct analytic research, build statistical models and complete prototypes.

  • Assist in creation of crime data vectorization, similarity measures, and clustering.

  • Assist in architecting generative AI features and conduct prompt engineering for customer facing AI tools.

  • Assist in communicating analytic conclusions to both analytic and non-analytic stakeholders.

  • Collaborate with cross-functional teams including fraud and crime analysts, product management, project management and technologists to execute projects.

Required Qualifications:

Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of relevant work experience. Or a Master's Degree in related field and 5+ years of relevant work experience.

Skills and Competencies:

  • This person needs to be inside the US boundaries to work on the projects based on necessary compliance.

  • Proficient user of Python, SQL, Pandas, and NumPy.

  • Competent user of Java.

  • Demonstrates proficiencies in Data Science and Machine Learning frameworks. Experience with Generative AI, OpenAI, Copilot, and Claude.

  • Skilled in processing and manipulating large data sets including merging, slicing, sorting, constructing new features.

  • Strong documentation, written and verbal communication skills.

  • Strong interpersonal skills to be able to interface effectively with a broad range of contacts; from technical staff to management.

  • Organized with the ability to handle multiple concurrent activities.

  • Self-starter and eager to learn.

  • Demonstrates leadership within small teams.

  • Detail oriented and critical thinker with strong analytical thinking skills.



U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.



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