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Data Wrangler Intern Jobs in Illinois (NOW HIRING)

As a AI Data Science Intern, you will: * Design and implement advanced machine learning models and ... Experience analyzing and wrangling large, complex datasets. * Excellent written and verbal ...

Data Wrangler Intern information

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

To thrive as a Data Wrangler Intern, you need a solid understanding of data analysis, data cleaning, and basic programming skills, often supported by coursework in statistics, computer science, or related fields. Familiarity with tools such as Python, SQL, Excel, and data visualization libraries is typically required. Attention to detail, problem-solving abilities, and effective communication are standout soft skills for this role. These skills ensure data integrity and enable accurate preparation of datasets for meaningful analysis in data-driven projects.

What are some typical challenges a Data Wrangler Intern might face when cleaning and organizing large datasets?

As a Data Wrangler Intern, you may encounter challenges such as dealing with incomplete, inconsistent, or duplicated data, as well as integrating information from multiple sources with varying formats. Ensuring data quality while meeting tight project deadlines can be demanding, especially when collaborating with analysts or data scientists who rely on your work. Developing strong attention to detail and learning to use data processing tools efficiently will help you overcome these obstacles and contribute effectively to your team.

What are Data Wrangler Interns?

Data Wrangler Interns are entry-level professionals who assist in collecting, cleaning, and organizing raw data so it can be easily analyzed by data scientists or analysts. They help transform messy or unstructured data into a usable format, ensuring data quality and consistency. Typical tasks may include handling missing values, correcting inconsistencies, and merging data from various sources. This role provides valuable hands-on experience with data manipulation tools and prepares interns for advanced data roles.

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

AspectData Wrangler InternData Analyst Intern
Required SkillsData cleaning, basic scripting, database managementData analysis, statistical skills, visualization
Work EnvironmentData preparation, database work, scriptingData interpretation, reporting, visualization
Common EmployersTech companies, startups, data-focused firmsBusiness, finance, marketing sectors

The Data Wrangler Intern primarily focuses on cleaning, organizing, and preparing raw data for analysis, often working with databases and scripting. In contrast, the Data Analyst Intern interprets data, creates reports, and visualizes insights. Both roles require some technical skills, but Data Wrangler Interns are more involved in data preparation, while Data Analyst Interns focus on deriving insights from data.

What are the most commonly searched types of Data Wrangler jobs in Illinois? The most popular types of Data Wrangler jobs in Illinois are:
What cities in Illinois are hiring for Data Wrangler Intern jobs? Cities in Illinois with the most Data Wrangler Intern job openings:
AI Data Science Summer Associate

AI Data Science Summer Associate

Tempus

Chicago, IL • On-site, Remote

$35/hr

Full-time

Posted 27 days ago


Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Tempus is seeking an AI Data Science Summer Associate focused on applying advanced data science, AI, and machine learning techniques to solve complex business and research problems. You will join a dynamic team exploring cutting-edge AI/ML techniques, specifically Large Language Models (LLMs), to drive process modernization and automation for business operations. The primary focus of this role is the development and implementation of AI models to streamline documentation and improve efficiency

Our goal is to provide you with a comprehensive overview of what it's like to work at Tempus and the chance to have a true impact. Our hope is that at the end of your internship you leave with a deeper understanding and appreciation for Tempus' profound goals and mission; to connect an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

As a AI Data Science Intern, you will:

  • Design and implement advanced machine learning models and NLP algorithms to address specific business challenges in document processing.

  • Conduct exploratory data analysis (EDA), feature engineering, and data preprocessing to uncover insights in complex, large-scale datasets.

  • Leverage state-of-the-art LLMs to automate documentation, data extraction, and other key business functions.

  • Work with a cross-functional team to integrate AI models into operational workflows and business systems.

  • Translate business objectives into scalable data science solutions by collaborating with domain experts.

Qualifications:

  • Currently pursuing a Master's or PhD in Data Science, Machine Learning, Computer Science, Statistics, or a related discipline.

  • Strong academic or project-based foundation in AI-augmented processing and automation.

  • Bioinformatics background is not required; the role is focused on the technical application of data science.

  • Proficiency in supervised and unsupervised learning, deep learning, and Natural Language Processing (NLP).

  • Strong programming skills in Python, SQL, or similar languages used for model development.

  • Experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, or XGBoost.

  • Direct experience or research focus on Large Language Models (LLMs) is a strong bonus.

  • Proficiency in statistical analysis and visualization using tools like pandas, NumPy, and Matplotlib.

  • Familiarity with cloud-based services (AWS, GCP) and building machine learning pipelines is a plus.

  • Proven track record of building and deploying machine learning models in academic or real-world applications.

  • Experience analyzing and wrangling large, complex datasets.

  • Excellent written and verbal communication skills with the ability to present technical results to non-technical stakeholders.

Additional Details:

  • You will spend 9 or 11 weeks working in our Chicago office.

  • The internship will be a hybrid, onsite 3 days/week with the option to work remotely the remaining days.

  • The program will run in two waves, commencing June/July and running through August/September (dependent upon your school calendar and availability).

  • A competitive hourly wage will be provided for the summer employment and a relocation bonus to help offset some of the relocation costs and resources to help you find housing.

CHI: $35 hr

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.