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Python Data Wrangler Internship Jobs in California

1872 Consulting

Senior Data Scientist

San Francisco, CA · On-site

... Python, data wrangling libraries (Pandas, Numpy, etc.), and machine learning libraries (Scikit-learn, MLlib, Tensorflow, Keras, etc.) • Excellent statistical intuition and knowledge of various ...

Apple

WPC Apple Card Data Scientist

Cupertino, CA · On-site

... data wrangler in Python (e.g., Pandas, Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing ... Python , Java, C++, Scala, etc * Working SQL knowledge and experience working with relational ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing ... Python , Java, C++, Scala, etc * Working SQL knowledge and experience working with relational ...

Apple

WPC Apple Card Data Scientist

Cupertino, CA

$175K - $311K/yr

... data wrangler in Python (e.g., Pandas, Polars) with experience working with relational databases, including SQL, and large-scale distributed systems such as Redshift Proficient in cloud data ...

1872 Consulting

Infrastructure & Data Engineer

Soquel, CA · On-site

$115K - $150K/yr

... in Python and/or Go • Knowledge of SQL and experience working with relational databases and data modeling • Experience with data wrangling libraries (Pandas, Numpy) • Hands-on experience ...

Stellent IT LLC

Data Product Owner

Burbank, CA · On-site

Experience with data: statistics, data cleansing, data wrangling. Scripting languages (i.e. Python, R) and big data technologies (i.e. Databricks, Snowflake) are a huge plus * Experience working with ...

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Python Data Wrangler Internship information

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 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 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 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 popular job titles related to Python Data Wrangler Internship jobs in California?

For Python Data Wrangler Internship jobs in California, the most frequently searched job titles are:

What job categories do people searching Python Data Wrangler Internship jobs in California look for?

The top searched job categories for Python Data Wrangler Internship jobs in California are:

What cities in California are hiring for Python Data Wrangler Internship jobs?

Cities in California with the most Python Data Wrangler Internship job openings:

Python Data Wrangler Internship jobs near you
Infographic showing various Python Data Wrangler Internship job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Data Scientist

1872 Consulting

San Francisco, CA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
1872 Consulting is a consulting firm seeking a Senior Data Scientist to participate and guide all aspects of the project lifecycle. The role involves developing machine learning models, collaborating with business partners, and mentoring team members to drive innovation and improve internal processes.
Responsibilities:
• Participate and guide all aspects of the project lifecycle from requirements gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data science product
• Develop state of the art machine learning models. Iterate to push the boundaries on what problems can be solved through data science
• Conduct open-ended data exploration to evaluate and improve internal processes
• Collaborate with business partners to identify opportunities for innovation
• Collaborate with data engineers to identify data preparation/cleansing/ETL pipelines
• Creativity in formulating statistical questions to address business needs
• Document projects including business objective, data gathering, and processes, approaches, final algorithm, detailed set of results and metrics
• Work closely with engineers, product managers and other data scientists to develop algorithms, and initiate features and modeling discussions
• Mentor team members to help them elevate to the next level
Qualifications:
Required:
• BS, MS or Ph.D. in Computer Science, Statistics, Engineering, or a related quantitative field
• 4+ years of industry experience in productionizing machine learning models
• 4+ years of experience in writing production codes using programming language (Python), and scripting languages (Unix shell) as well as solid experience with git
• Mastery of Python, data wrangling libraries (Pandas, Numpy, etc.), and machine learning libraries (Scikit-learn, MLlib, Tensorflow, Keras, etc.)
• Excellent statistical intuition and knowledge of various approaches such as inference, hypothesis testing, sampling, etc
• Excellent communication skills, both written and oral; comfortable presenting findings and recommendations to decision-makers
• Excited about working with large data sets
• Deep understanding of machine learning models. Demonstrable experience applying these methods to real data problems such as classification, regression, recommendation system, time series analysis, etc
• Ability to deploy and scale models into a production environment as microservices or on AWS
• Experience with Jupyter notebook environment. Experience with text data and NLP is a big plus
• Experience with SQL
Preferred:
• Experience with AWS ecosystem and Spark
• Experience with Flask or similar web-based services
• Experience with Deep Learning
• Experience with data warehouses, data lakes, and ETL
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.
1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

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