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.

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Data Science Internship Responsibilities

Here are examples of responsibilities from real data science internship resumes representing typical tasks they are likely to perform in their roles.

  • 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 Job Description

Perhaps the hardest question to answer when deciding on a career as a data science internship is "should I become a data science internship?" You might find this info to be helpful. When compared to other jobs, data science internship careers are projected to have a growth rate described as "much faster than average" at 20% from 2018 through 2028. This is in accordance with the Bureau of Labor Statistics. What's more, is that the projected number of opportunities that are predicted to become available for a data science internship by 2028 is 139,200.

On average, the data science internship annual salary is $42,841 per year, which translates to $20.6 an hour. Generally speaking, data science interns earn anywhere from $24,000 to $73,000 a year, which means that the top-earning data science interns make $41,000 more than the ones at the lower end of the spectrum.

It's hard work to become a data science internship, but even the most dedicated employees consider switching careers from time to time. Whether you're interested in a more challenging position or just looking for a fresh start, we've compiled extensive information on becoming a summer analyst, business development internship, business analyst internship, and investment banking internship.

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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.

Choose From 10+ Customizable Data Science Internship Resume templates

Build a professional Data Science Internship resume in minutes. Browse through our resume examples to identify the best way to word your resume. Then choose from 10+ resume templates to create your Data Science Internship resume.

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Some of the skills we found on data science internship resumes included "python," "visualization," and "data analytics." We have detailed the most important data science internship responsibilities below.

  • Detail oriented can be considered to be the most important personality trait for a data science internship to have. According to a data science internship resume, "market research analysts must be detail oriented because they often do precise data analysis." Data science interns are able to use detail oriented in the following example we gathered from a resume: "applied detailed forward modeling by simulating user behavior from online activity through the data collection process. "
  • Another commonly found skill for being able to perform data science internship duties is the following: analytical skills. According to a data science internship resume, "market research analysts must be able to understand large amounts of data and information." Check out this example of how data science interns use analytical skills: "designed a user-interface for internal a/b testing of several algorithms to analyze relative performance"
  • Communication skills is also an important skill for data science interns to have. This example of how data science interns use this skill comes from a data science internship resume, "market research analysts need strong communication skills when gathering information, interpreting data, and presenting results to clients." Read this excerpt from a resume to understand how vital it is to their everyday roles and responsibilities, "applied tableau and other data visualization tools to storytelling and strategic insights communications. "
  • See the full list of data science internship skills.

    We've found that 70.3% of data science interns have earned a bachelor's degree. Furthermore, 20.1% earned their master's degrees before becoming a data science internship. While it's true that most data science interns have a college degree, it's generally impossible to become one with only a high school degree. In fact, one out of every nine data science interns did not spend the extra money to attend college.

    The data science interns who went onto college to earn a more in-depth education generally studied computer science and kinesiology, while a small population of data science interns studied biology and mathematics.

    When you're ready to become a data science internship, you might wonder which companies hire data science interns. According to our research through data science internship resumes, data science interns are mostly hired by Highmark, Acxiom, and HP. Now is a good time to apply as Highmark has 32 data science interns job openings, and there are 15 at Acxiom and 5 at HP.

    If you're interested in companies where data science interns make the most money, you'll want to apply for positions at Meta, Google, and General Motors. We found that at Meta, the average data science internship salary is $125,561. Whereas at Google, data science interns earn roughly $119,874. And at General Motors, they make an average salary of $109,040.

    View more details on data science internship salaries across the United States.

    If you earned a degree from the top 100 educational institutions in the United States, you might want to take a look at Accenture, Kingland, and Bloomberg. These three companies have hired a significant number of data science interns from these institutions.

    In general, data science interns fulfill roles in the technology and finance industries. While employment numbers are high in those industries, the data science internship annual salary is the highest in the technology industry with $65,364 as the average salary. Meanwhile, the finance and professional industries pay $64,325 and $57,717 respectively. This means that data science interns who are employed in the technology industry make 55.8% more than data science interns who work in the telecommunication Industry.

    The three companies that hire the most prestigious data science internships are:

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    What Summer Analysts Do

    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.

    In this section, we take a look at the annual salaries of other professions. Take summer analyst for example. On average, the summer analysts annual salary is $23,996 higher than what data science interns make on average every year.

    Even though data science interns and summer analysts have vast differences in their careers, a few of the skills required to do both jobs are similar. For example, both careers require python, java, and r in the day-to-day roles.

    As far as similarities go, this is where it ends because a data science internship responsibility requires 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." So if you're looking for what truly separates the two careers, you've found it.

    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.

    What Are The Duties Of a 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.

    The next role we're going to look at is the business development internship profession. Typically, this position earns a lower pay. In fact, they earn a $9,695 lower salary than data science interns per year.

    A similarity between the two careers of data science interns and business development interns are a few of the skills associated with both roles. We used resumes from both professions to find that both use skills like "r," "powerpoint," and "facebook. "

    But both careers also use different skills, according to real data science internship resumes. While data science internship responsibilities can utilize skills like "python," "visualization," "data analytics," and "java," some 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 side of things, data science interns receive higher paychecks in the technology industry where they earn an average of $65,364.

    When it comes to the differences in education between the two professions, 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.

    How a Business Analyst Internship Compares

    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.

    Let's now take a look at the business analyst internship profession. On average, these workers make higher salaries than data science interns with a $2,719 difference per year.

    While looking through the resumes of several data science interns and business analyst interns we discovered that both professions have similar skills. These similarities include skills such as "python," "visualization," and "r," but they differ when it comes to other required skills.

    There are many key differences between these two careers as shown by resumes from each profession. Some of those differences include the skills required to complete responsibilities within each role. As an example of this, 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."

    Additionally, business analyst interns earn a higher salary in the professional industry compared to other industries. In this industry, they receive an average salary of $55,443. Additionally, data science interns earn an average salary of $65,364 in the technology industry.

    Business analyst interns are known to earn similar educational levels when compared to data science interns. Additionally, they're 1.9% more likely to graduate with a Master's Degree, and 1.1% more likely to earn a Doctoral Degree.

    Description Of an 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.

    Now, we'll look at investment banking interns, who generally average a higher pay when compared to data science interns annual salary. In fact, the difference is about $796 per year.

    While their salaries may vary, data science interns and investment banking interns both use similar skills to perform their jobs. Resumes from both professions include skills like "powerpoint," "matlab," and "customer service. "

    While some skills are shared by these professions, there are some differences to note. "python," "visualization," "data analytics," and "java" are skills that have shown up on data science interns resumes. Additionally, investment banking internship uses skills like work ethic, oil gas, financial models, and strong analytical on their resumes.

    In general, investment banking interns reach similar levels of education when compared to data science interns resumes. Investment banking interns are 2.7% less likely to earn their Master's Degree and 0.7% less likely to graduate with a Doctoral Degree.

    What a Data Science Internship Does FAQs

    How Do I Get A Data Science Internship With No Experience?

    Several steps can help someone get a data science internship with no experience. Without actual industry experience, candidates need to learn as much about the internship and company as possible.

    How Much Do Data Science Interns Make?

    Data science interns make approximately $92,000 per year. Salaries can range widely depending on important factors such as education and certification.

    Entry-level data analyst interns will earn approximately $48,000 entering the field with a bachelor's degree. The vast majority (over 77%) of candidates enter the field this way. Some interns choose to apply with a master's degree. These individuals will earn approximately 7% to 10% based on their education.

    What Does A Data Intern Do?

    A data intern gains experience in the information technology (IT) field by assisting data analyst professionals.

    Data analyst interns should examine information using data analysis tools so that they can help their employers make important decisions by identifying various facts and trends. They write reports and present them to the management to provide new insights about new trends and areas for improvement.

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