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Intern Python Data Science Jobs in Cinnaminson, NJ

Dlapiper

Data Scientist

Philadelphia, PA · On-site +1

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

... Data Science: Experience building solutions using LLMs, agentic systems, prompt engineering, model fine-tuning, RAG architectures, and AI evaluation frameworks. * Strong programming skills in Python ...

United States Cold Storage, Inc.

Data Scientist

Camden, NJ · On-site

$105K - $130K/yr

We are hiring a Data Scientist to grow the capabilities of the organization to drive innovation ... science, machine learning, or advanced analytics roles * Strong programming skills in Python ...

Munich Re

Data Scientist

Philadelphia, PA · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

United States Cold Storage

Data Scientist

Camden, NJ

$105K - $130K/hr

... science, machine learning, or advanced analytics roles * Strong programming skills in Python ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

United States Cold Storage

Data Scientist

Camden, NJ

$105K - $130K/hr

... science, machine learning, or advanced analytics roles * Strong programming skills in Python ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

United States Cold Storage Inc

Data Scientist

Camden, NJ · On-site

$105K - $130K/yr

... science, machine learning, or advanced analytics roles * Strong programming skills in Python ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

USCS

Data Scientist

Camden, NJ · On-site

$105K - $130K/yr

... science, machine learning, or advanced analytics roles * Strong programming skills in Python ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

United States Cold Storage

Data Scientist

Camden, NJ · On-site

$105K - $130K/yr

... science, machine learning, or advanced analytics roles * Strong programming skills in Python ... Senior Data Scientist * Travel: Less than 15% * Full-time, Exempt * Salaried, Bi-Weekly Paid

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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 Sep 11, 2026, the average hourly pay for intern python data science in Cinnaminson, NJ is $22.65, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $24.66 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 cities near Cinnaminson, NJ are hiring for Intern Python Data Science jobs?

Cities near Cinnaminson, NJ with the most Intern Python Data Science job openings:

Intern Python Data Science jobs near you

Actuarial Data Science Analyst (Insurance Hybrid role)

Philadelphia, PA • On-site

PA Compensation Rating Bureau.
See more jobs at PA Compensation Rating Bureau.external

Full-time

Re-posted 5 days ago

Job description

Job Summary:

This position supports actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and analytical model development. The employee is responsible for designing and maintaining data pipelines, performing actuarial and statistical analyses, developing analytical tools and dashboards, and communicating research findings and recommendations to technical and non-technical audiences.

The position works with large datasets using programming languages such as Python and R, SQL, and Snowflake to automate processes, conduct research, and support strategic business decisions. Responsibilities include developing reports and visualizations, evaluating emerging analytical methods, and participating in multiple concurrent projects, including research studies, data integration, predictive analytics, and business intelligence initiatives.

Essential Responsibilities:

  • Responsible for statistical analyses, actuarial and/or research models
  • Design and maintain data pipelines, analytical models, and automated processes using Python, R, SQL, Snowflake, or other programming languages.
  • Extract, validate, and analyze data from multiple sources to support research and business initiatives.
  • Drawing inferences, developing reports, and presenting analysis and recommendations to technical and non-technical audiences.
  • Participates in multiple research, business intelligence, and data analytics projects simultaneously

Requirements:

 Education: Bachelor’s Degree – B.A. / B.S. Mathematics, Statistics, Economics or Computer Science strongly preferred. A degree in Actuarial Science or a Masters in Data Science related field a plus. 

 Experience: 3 to 6 years experience in related field. 

Skills Required: Strong organizational, communication, written, and analytical skills with the ability to work independently and manage multiple priorities. Programming proficiency in Python and R is a core requirement, including experience with data manipulation, statistical analysis, and process automation. Experience with SQL, Snowflake, and advanced Excel is required. Experience with business intelligence platforms such as Pyramid, Power BI, or Tableau is preferred. The candidate must communicate effectively with all levels of personnel and external contacts.

Preferred Qualifications

  • Actuarial background or experience in the property & casualty insurance industry is a plus.

 Work Hours:

Normal PCRB hybrid Flex time is available. Employee must be flexible when needed as projects or deadlines may sometimes necessitate extended hours.