Data science is a challenging but highly rewarding field that uses technical processes to analyze data and draw useful conclusions. Most modern-day businesses rely heavily on financial and customer information. This makes data science a highly sought-after role that offers excellent job prospects.
One of the best ways to launch your career is with a data science internship. Most tech companies prefer candidates with industry experience. A data science internship not only provides this vital experience, but also gives aspiring data scientists the opportunity to transition from theoretical to practical learning.
If you have a passion for big data and are looking to kickstart your career in data science, read on. This article will list the best companies offering internships, teach you how to craft the perfect resume, and provide interview tips to help you stand out from the crowd.
Top 10 Companies Offering Data Science Internships
Here’s our selection of companies that provide internships in data science. Landing a placement at one of these big firms will look great on your resume, allow you to learn from experienced professionals, and ultimately help you secure your dream data science job.
Google is one of the most well-known companies globally. Collecting, storing, and analyzing data is at the forefront of everything Google does, making it perfect for a data science internship.
You’ll have the opportunity to get involved in a range of different projects and start building your professional portfolio. They have offices around the world so if you’re interested in travel, relocation is on the cards.
Data science internships are usually 10-12 weeks long and to get started you just need to complete the online form. You can also apply through college or university career boards.
2. Hewlett Packard
Whether you’re pursuing a career in information technology, computer science, or data analytics, or you’re following a more direct route and learning data science online, you can apply for an internship at HP. You should have a passion for data and be familiar with programming languages and data analytics tools.
Intel is another great company to gain invaluable experience for your future career. Data science interns will have the opportunity to assist professional research scientists. This is an amazing learning experience as you get to work one-on-one with leading experts. Future employers should recognize this. A data science internship at Intel will undoubtedly boost your chances of employment in this field.
4. McKinsey & Company
Knowledge of machine learning, big data, Python, and other data analytics tools are basic requirements for this data science internship. The company prefers candidates who are comfortable working in team environments and good at communicating with other team members.
Since you’ll be testing business hypotheses, along with gathering and analyzing information, this internship is perfect for aspiring data scientists and will help prepare you for your future career.
This is one of the best companies for a data science internship. Since Amazon has a global presence, you can find internships at many major cities across the U.S.
The application process is quite simple. You can apply for an Amazon internship online by submitting your resume. You can be a part of product launches, gaining valuable industry knowledge and skills during the process. Apart from learning, you’ll also get some exclusive Amazon-related perks and benefits.
IBM offers data science internships which are generally 12 weeks long. These are available for both freshers, and for those who have been away from this field for some time. You’ll become part of their expert team and learn from established data science professionals.
The best part is, IBM internships pay well and there are placement programs at the end of the internship. If you work hard and show commitment to the role, there’s a good chance you’ll land a full-time job.
eBay offers many internships for aspiring data scientists. You should be good at programming languages and must be familiar with statistical tools. You’ll master data visualization tools and MS Excel as an intern, making you eligible for a decent job after completing your placement.
Boeing is the world’s largest aerospace company. A data science intern at this company will get to work with expert engineers. The company prefers candidates with a computer science or engineering background. They also expect you to know about development tools and programming languages. Placements are highly competitive but it’s ideal if you’d like to get into the aerospace industry.
Yahoo offers well-paid data science internship positions. They accept students with a degree in computer science, electrical engineering, or applied mathematics. They also accept candidates learning data science through alternative education like dedicated online courses.
Yahoo is looking for aspiring data scientists with knowledge of statistics, linear algebra, and probability. If you have prior knowledge of visualization tools, then it’s an added benefit.
Uber’s business model is heavily based on data, making it a perfect company for data science internships. The best part is that they’re extremely open to innovation and experimentation. You’ll get a chance to express your creativity and passion for data.
Unfortunately, most of their internships aren’t paid, but the learning experience can more than make up for this.
How to Write Your Resume
Your resume plays an important role in creating a strong first impression and helping recruiters learn about you, your qualifications, skills, and achievements. A well-written resume can boost your chances of getting accepted for a data science internship.
Here are some essential points to keep in mind when preparing your resume:
- Make sure your resume has no spelling or grammar mistakes. Small errors might seem harmless, but they demonstrate a lack of care and attention on your part. Proofread it a couple of times or ask a friend to check it over.
- Your resume should be up-to-date and accurate. Make sure you create a new version after each new course you complete, position you hold, and achievement you gain.
- Don’t mention old or irrelevant details. If you worked on a project years ago and can’t remember the details, or if the project involved obsolete tools, don’t mention it.
- Be honest. If you exaggerate your qualifications or experience you’ll get caught. Recruiters will conduct background research and may even test your knowledge during the interview.
- Tailor your CV according to the internship or job that you’re applying for. Don’t send the same CV everywhere. Learn the company you’re applying to, and make changes accordingly. Also, include terms used in the job description.
Data Science Internship Interview Tips
If you’ve been invited to an interview, congratulations! This is the first step needed for landing that internship. Here are some useful tips to help you make a great impression:
- Know Your Basics: You can’t expect a company to hire you if you haven't nailed the basics. Get fundamental topics, techniques, and terminology covered. You’ll find plenty of books and online reading material that can help. A great place to start is our data science blog. It contains dozens of articles on the subject including Data Science Fundamentals.
- Master Statistics and Probability: Statistics, linear algebra, and probability are key building blocks for data science roles. Make sure you brush up on these topics before attending the interview.
- Coding Skills: You should master at least one programming language. Python and R are the most relevant languages for data science.
- Online Portfolio: Startups and growing businesses will be impressed with a good online portfolio. If you’re someone who writes blogs, it can be helpful. You can also create a resume on LinkedIn.
- Join a Community or Network: There are various platforms where you can connect with other aspiring data scientists. These communities are great to meet like-minded individuals and build your professional network.
Your Future Career Path
An internship provides aspiring data scientists with an opportunity to develop key skills and learn from industry experts. However, before applying for a placement, you’ll first need some form of structured education program.
Bachelor’s degrees are one option. But they generally cover a broad range of topics, can take up to 4 years to complete, and result in significant debt.
For a faster, more focused path to employment, enroll in our data science online bootcamp. Developed by leading experts, this program teaches you everything you need to kickstart your data science career. You’ll receive one-on-one mentoring and full community support as you work through our professional curriculum.
Choosing the best path to enter a new career is a big decision, and you’ve probably got some questions. Schedule a call with Admissions to talk through your course options and our flexible payment plans.