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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 backgrounds; no expert level required.
- Other info: Perfect for those eager to learn and contribute to impactful data science projects.
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. Having a portfolio of your work demonstrates your skills and passion for data science. Make sure to include clear documentation and explanations of your thought process behind each project.
✨Tip Number 3
Familiarise yourself with the tools and technologies mentioned in the job description, such as Python and SQL. Consider taking short online courses or tutorials to brush up on these skills, which will make you more confident during interviews.
✨Tip Number 4
Prepare for potential technical interviews by practising common data science problems and case studies. Websites like LeetCode or Kaggle can provide you with real-world scenarios to solve, helping you to think critically and demonstrate your problem-solving abilities.
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 express why you want to work with the company.
Showcase Your Projects: If you've completed any personal or academic projects, include them in your application. Briefly describe what you did, the tools you used, and the outcomes. This will help demonstrate your practical skills and initiative.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
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 basic data analysis.
✨Ask Insightful Questions
Prepare thoughtful questions about the projects you'll be working on and the team dynamics. This shows your interest in the role and helps you understand how you can contribute effectively.
✨Demonstrate Your Learning Mindset
Highlight your willingness to learn and adapt. Discuss how you've approached learning new concepts in the past and how you plan to tackle challenges during the internship.
