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For Companies At a Glance
- Tasks: Work on real data projects, collaborating with experienced data scientists.
- Company: Join a reputable IT company focused on innovative data solutions.
- Benefits: Enjoy a flexible remote internship with hands-on experience and mentorship.
- Why this job: Gain practical skills while solving real business problems in a supportive environment.
- Qualifications: Open to students or recent grads from STEM fields; no expert level required.
- Other info: Perfect for beginners and intermediate learners eager to enhance their data skills.
Summer Internship – Data Science (Beginner to Intermediate Levels Welcome)
Duration: 3 Months | Remote | Flexible Start
Are you passionate about data and eager to apply your skills in real-world projects? Whether you're just starting out or already have some hands-on experience — this is a chance to be part of a live data science team solving actual business problems.
What You’ll Work On:
- Collaborate with senior data scientists on live projects
- Assist in cleaning, organizing, and analyzing datasets
- Contribute to feature engineering for machine learning models
- Learn how A/B tests and data experiments are designed and analyzed
- Help build dashboards or visualizations that support business decisions
Who Should Apply:
- Students or recent grads from any STEM or analytical background
- Candidates who are self-taught in Python, SQL, or basic data analysis
- Beginners who have done personal projects, academic work, or online coursework
- Intermediate learners looking to gain real project experience
You don’t need to be an expert — you just need to be willing to contribute, learn fast, and work hard on real tasks under mentorship.
Data Science Intern employer: Hirist
Contact Detail:
Hirist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Intern
✨Tip Number 1
Network with professionals in the data science field. Join online forums, attend webinars, or participate in local meetups to connect with industry experts. This can help you gain insights into what employers are looking for and may even lead to referrals.
✨Tip Number 2
Showcase your personal projects on platforms like GitHub or Kaggle. Having a portfolio of your work demonstrates your skills and passion for data science, making you stand out to potential employers.
✨Tip Number 3
Familiarise yourself with the tools and technologies commonly used in data science, such as Python, SQL, and data visualisation libraries. Being able to discuss these tools confidently during interviews can significantly boost your chances.
✨Tip Number 4
Prepare for technical interviews by practising common data science problems and case studies. Websites like LeetCode or HackerRank can be great resources to sharpen your problem-solving skills and get comfortable with technical questions.
We think you need these skills to ace Data Science Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to data science. Include any coursework, personal projects, or internships that demonstrate your analytical abilities and familiarity with tools like Python and SQL.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your eagerness to learn. Mention specific projects or experiences that relate to the internship role and explain why you want to work with this particular IT company.
Showcase Your Projects: If you've completed any personal or academic projects in data science, be sure to mention them in your application. Briefly describe the project, your role, and the tools you used, as this will demonstrate your practical experience.
Highlight Your Willingness to Learn: Since the internship is open to beginners and intermediate learners, emphasise your eagerness to learn and grow. Mention any online courses or resources you've used to develop your skills, and express your enthusiasm for working under mentorship.
How to prepare for a job interview at Hirist
✨Show Your Passion for Data
Make sure to express your enthusiasm for data science during the interview. Share any personal projects or coursework you've completed, as this demonstrates your commitment and eagerness to learn.
✨Familiarise Yourself with Key Tools
Brush up on your knowledge of Python and SQL, as these are essential for the role. Be prepared to discuss how you've used these tools in your projects or studies, even if it's just at a basic level.
✨Understand the Basics of A/B Testing
Since you'll be involved in designing and analysing A/B tests, take some time to understand the fundamental concepts. Being able to discuss this topic will show that you're ready to contribute to real projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your interest but also helps you determine if the internship aligns with your career goals.
