What does a Data Science Internship do?
A data science intern is a trainee who wants to gain working experience in the field of data science. Data science interns assist data scientists in collecting, analyzing, and interpret data sets to drive optimization and improvement of product development. As part of the company's trainees, data science interns are required to provide help in developing custom data models and algorithms to apply to data sets. Data science interns must also coordinate with different functional teams to implement models and monitor outcomes.
Data science internship responsibilities
Here are examples of responsibilities from real data science internship resumes:
- Provide clinical staff with customize population health analytic solutions for tracking specific clinical quality measure and managing high risk patients.
- Learned the essentials to C++ and Java to refine code and build the exterior layer of web pages.
- Conduct secondary market research including: industry trend, data visualization, and competitor analysis.
- Develop data visualization modules for the data collect from electrical, mechanical and chemical tests on batteries.
- Create source code utilizing JavaScript and PHP language to make web pages functional.
- Used SQL and pandas to predict doctor activity on the platform base their past activity.
- Structure data queries and data mining through the MongoDB (NoSQL) database using JAVASCRIPT.
- Build data driven reports, store procedures, query optimization using SQL and PL/SQL knowledge.
- Enhance NGE s capacity to better serve clients through database auditing and use of VBA.
- Create a statistical survival model to optimize the cost for AWS by utilizing amazon spot instances.
- Integrate AWS services into an in-house API which significantly improve performance for automate data parsing and profile creation.
- Reduce query retrieval time by automating manual tasks using store procedures, functions, triggers and PL/SQL scripts.
- Develop VBA applications for data preparation.
- Implement MatLab scripts for data manipulation and analysis.
- Present data periodically to DoSomething.org chief officers (PowerPoint )
Data science internship skills and personality traits
We calculated that 17% of Data Science Interns are proficient in Python, Visualization, and Data Analytics. They’re also known for soft skills such as Detail oriented, Analytical skills, and Communication skills.
We break down the percentage of Data Science Interns that have these skills listed on their resume here:
- Python, 17%
Created multiple scripts in Python to perform data manipulation and analysis as well as calculations on energy production and data visualization.
- Visualization, 6%
Designed an interactive visualization interface to generate financial data summary and model output with R Shiny and Tableau.
- Data Analytics, 6%
Analyzed and presented a case study on Energy Star product awareness in Kansas and Missouri, under the data analytics team.
- Java, 6%
Developed Java Auto-correction algorithm using Artificial Intelligence and Probabilistic Machine Learning techniques for SAP Ana, a digital assistant for enterprise.
- Data Visualization, 4%
Designed interactive data visualizations using Tableau, which were published in UNDP s Africa Human Development Report 2016.
- R, 3%
Analyzed internal WebBoard trends using R statistical software; identified significant trends, social network characteristics, and structure recommendations.
Common skills that a data science internship uses to do their job include "python," "visualization," and "data analytics." You can find details on the most important data science internship responsibilities below.
Detail oriented. To carry out their duties, the most important skill for a data science internship to have is detail oriented. Their role and responsibilities require that "market research analysts must pay attention to minutiae to evaluate data." Data science interns often use detail oriented in their day-to-day job, as shown by this real resume: "applied detailed forward modeling by simulating user behavior from online activity through the data collection process. "
Analytical skills. Another essential skill to perform data science internship duties is analytical skills. Data science interns responsibilities require that "market research analysts must evaluate large amounts of data and information related to market conditions." Data science interns also use analytical skills in their role according to a real resume snippet: "designed a user-interface for internal a/b testing of several algorithms to analyze relative performance"
Communication skills. This is an important skill for data science interns to perform their duties. For an example of how data science internship responsibilities depend on this skill, consider that "market research analysts must be able to clearly convey information when gathering material, interpreting data, and presenting results to clients." This excerpt from a resume also shows how vital it is to everyday roles and responsibilities of a data science internship: "applied tableau and other data visualization tools to storytelling and strategic insights communications. ".
The three companies that hire the most data science internships are:
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Compare different data science interns
Data science internship vs. Summer analyst
Summer analysts are people who undertake an internship within a banking institution. These professionals perform analyses of detailed financial and corporate information. They establish statistical exhibits analyzing comparative financial performance. It is their responsibility to create models illustrating projected financial results, which is of great value to the companies. The skills necessary for this job include knowledge of financial statements, equity, portfolio companies, and financial models. They should also develop due diligence, strong communication, asset allocation knowledge, and attention to detail.
While similarities exist, there are also some differences between data science interns and summer analyst. For instance, data science internship responsibilities require skills such as "visualization," "data analytics," "data visualization," and "hadoop." Whereas a summer analyst is skilled in "strong analytical," "financial statements," "capital markets," and "financial analysis." This is part of what separates the two careers.
On average, summer analysts reach lower levels of education than data science interns. Summer analysts are 5.8% less likely to earn a Master's Degree and 0.7% less likely to graduate with a Doctoral Degree.Data science internship vs. Business development internship
A business development intern is responsible for supporting the organization's goals and objectives in providing the best services to clients and ensuring a smooth flow of operations with maximum productivity and efficiency. Business development interns observe the operational processes of the department and perform duties under the supervision of a direct manager or tenured staff. They also assist with the creation of new products and services, pitching strategies to promote them in the market, develop marketing campaigns, and creating proposals for business partnership purposes. A business development intern must be detail-oriented and highly organized to support daily operations.
Each career also uses different skills, according to real data science internship resumes. While data science internship responsibilities can utilize skills like "python," "visualization," "data analytics," and "java," business development interns use skills like "social media marketing," "data entry," "crm," and "data analysis."
Business development interns may earn a lower salary than data science interns, but business development interns earn the most pay in the technology industry with an average salary of $36,190. On the other hand, data science interns receive higher pay in the technology industry, where they earn an average salary of $65,364.Average education levels between the two professions vary. Business development interns tend to reach lower levels of education than data science interns. In fact, they're 7.8% less likely to graduate with a Master's Degree and 0.7% less likely to earn a Doctoral Degree.Data science internship vs. Business analyst internship
A Business Analyst Intern provides support to the business analysis team in preparing business plans and strategies. They make suggestions for improvements, write reports, perform research, and analyze data.
There are many key differences between these two careers, including some of the skills required to perform responsibilities within each role. For example, a data science internship is likely to be skilled in "data analytics," "java," "data visualization," and "hadoop," while a typical business analyst internship is skilled in "business analysts," "user stories," "project management," and "strong analytical."
Business analyst interns earn the highest salary when working in the professional industry, where they receive an average salary of $55,443. Comparatively, data science interns have the highest earning potential in the technology industry, with an average salary of $65,364.business analyst interns typically earn similar educational levels compared to data science interns. Specifically, they're 1.9% more likely to graduate with a Master's Degree, and 1.1% more likely to earn a Doctoral Degree.Data science internship vs. Investment banking internship
An investment banking intern is responsible for assisting investment bankers in delivering high-quality financial services to clients while learning various investment strategies and other related banking disciplines. Investment banking interns observe the investment processes, shadow bankers on their daily operations, and contribute to identifying business opportunities based on their class knowledge to practical applications. They also conduct financial analysis, data processing for the client's account information, performing research for the stock market, and creating financial reports for meeting documents.
Types of data science internship
Updated January 8, 2025
