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Python Data Wrangler Internship Jobs in Philadelphia, PA

AI and Data Science Engineer III

Philadelphia, PA ยท On-site

$115K - $138K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication skills with the ability to convey complex analytical insights to diverse audiences. The wage range for ...

Strong programming skills (e.g., Python, SQL) for data wrangling, modeling, andproduction readysolutions. * Handson experience with statistical modeling and machine learning techniques. * Proven ...

Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and ...

Strong programming skills (e.g., Python, SQL) for data wrangling, modeling, and production ready solutions. * Handson experience with statistical modeling and machine learning techniques. * Proven ...

Strong programming skills (e.g., Python, SQL) for data wrangling, modeling, and production ready solutions. * Hands on experience with statistical modeling and machine learning techniques. * Proven ...

Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required) * Experience working with data from CRM systems, e.g., Salesforce * Familiarity with underwriting and ...

Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and ...

Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and ...

... data wrangling techniques to handle structured, semi-structured, and unstructured data while ... Advanced programming proficiency in Python or R with strong expertise in machine learning ...

Senior Data Engineer

Edgewater Park, NJ ยท On-site

$80K - $105K/yr

Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle ... Previous experience with DevOps * Experience with Python / Java programming languages * Experience ...

Senior Data Engineer

Beverly, NJ ยท On-site

$102K - $139K/yr

Design and Develop ETL to extract data from first and third-party data sources, stitch, and wrangle ... Previous experience with DevOps * Experience with Python / Java programming languages * Experience ...

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Python Data Wrangler Internship information

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

AspectPython Data Wrangler InternshipData Analyst Intern
Required SkillsPython, data cleaning, scriptingExcel, SQL, basic statistics
Work EnvironmentData preprocessing, scripting tasksData analysis, reporting
Industry UsageTech, finance, startupsBusiness, marketing, finance

The Python Data Wrangler Internship focuses on data cleaning and scripting using Python, ideal for those interested in data preprocessing roles. In contrast, Data Analyst Internships involve analyzing data and creating reports, often requiring Excel and SQL skills. Both roles are common in tech and business sectors, but they serve different stages of data handling and analysis.

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

To thrive as a Python Data Wrangler Intern, you need a solid understanding of Python programming, data manipulation, and foundational knowledge in statistics or data science. Familiarity with tools such as pandas, NumPy, Jupyter Notebooks, and version control systems like Git is typically expected. Strong problem-solving, attention to detail, and effective communication skills set candidates apart in this role. These abilities are crucial for efficiently cleaning, transforming, and interpreting data to support accurate analysis and collaborative project work.

What are some typical projects or tasks assigned to Python Data Wrangler interns, and how do these contribute to the overall data team?

As a Python Data Wrangler intern, you are likely to work on projects involving data cleaning, transformation, and integration from multiple sources. Typical tasks include writing scripts to automate data preprocessing, identifying and correcting inconsistencies, and ensuring data integrity for analytics pipelines. You'll often collaborate closely with data analysts, data engineers, and sometimes machine learning teams to prepare datasets that drive business insights. These contributions are vital, as high-quality, well-structured data forms the foundation for all downstream analytics and decision-making within the organization.

What does a Python Data Wrangler Intern do?

A Python Data Wrangler Intern is responsible for collecting, cleaning, organizing, and preparing data for analysis, primarily using Python programming. Their work involves writing scripts to handle messy or unstructured data from various sources, ensuring it is accurate and usable for data science or analytics teams. Tasks may include automating data extraction, transforming data formats, and collaborating with team members to support data-driven projects. This role provides hands-on experience with real-world datasets and tools commonly used in the industry.
What are popular job titles related to Python Data Wrangler Internship jobs in Philadelphia, PA? For Python Data Wrangler Internship jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Python Data Wrangler Internship jobs in Philadelphia, PA look for? The top searched job categories for Python Data Wrangler Internship jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Python Data Wrangler Internship jobs? Cities near Philadelphia, PA with the most Python Data Wrangler Internship job openings:
Data Scientist, Specialist

Data Scientist, Specialist

Vangard, Inc.

Philadelphia, PA โ€ข On-site

Full-time

Posted 20 days ago


Job description

Role Summary

This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.


Responsibilites
1. Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
2. Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
3. Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
4. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
5. Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
6. Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
7. Participates in special projects and performs other duties as assigned.
8. Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
9. Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
10. Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.
Qualifications and Skills

  • Minimum of five years related work experience in analytical roles. Experience with data wrangling required - Programming skills to access, transform and prepare large scale data for statistical modeling. Experience utilizing statistical and machine learning methods required.
  • Undergraduate degree in Analytics, Applied Mathematics, Economics, Statistics or related analytical field of study or equivalent combination of training and experience. Graduate degree preferred.
  • Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.