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- Tasks: Join a live data science team to solve real business problems.
- Company: Work with a reputed IT company through HIRIST, a leading recruitment partner.
- Benefits: Enjoy 1:1 mentorship, internship certificate, and potential stipend opportunities.
- Why this job: Gain hands-on experience in data science while contributing to impactful projects.
- Qualifications: Ideal for STEM students or self-taught individuals with basic Python or SQL knowledge.
- Other info: Flexible remote work with a commitment of 15-20 hours per week.
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.
Must-Have Skills:
- Basic knowledge of Python and/or SQL
- Curiosity and willingness to work with data
- Familiarity with any one: Excel, Pandas, Numpy, or visualization tools
- Good communication and time management skills
Nice-to-Have (But Not Required):
- Experience with data cleaning, modeling, or dashboards
- Understanding of statistics or A/B testing
- GitHub or portfolio of data projects (even academic ones)
Perks & Benefits:
- 1:1 mentorship from a senior data scientist on the same project
- Exposure to real industry-level projects
- Internship Certificate at the end of the program
- Letter of Recommendation based on performance
- Stipend opportunity for selected interns (based on skill level and contributions)
Selection Process:
- Resume Screening (emphasis on interest and motivation)
- Basic Aptitude/Data Task (suitable for beginners too)
- Friendly Interview with Mentor/Manager
- Final Selection & Onboarding via HiRIST
Apply If You:
- Are available for 4-12 weeks
- Can commit at least 15–20 hours/week
- Are excited to work in a real tech team, not a training bootcamp
- Want to add real business project experience to your resume
Ready to Get Started? Apply with your resume + any portfolio link or project sample (optional).
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
Show your enthusiasm for data science during the interview. Be prepared to discuss any personal projects or coursework you've completed, as this demonstrates your passion and willingness to learn.
✨Tip Number 2
Familiarise yourself with the tools mentioned in the job description, such as Python, SQL, and data visualisation tools. Having a basic understanding of these will help you stand out and show that you're ready to contribute from day one.
✨Tip Number 3
Prepare to discuss how you approach problem-solving with data. Think of examples where you've cleaned or analysed datasets, even if they were part of academic work or personal projects, to showcase your analytical skills.
✨Tip Number 4
Network with current or former interns in data science roles. They can provide insights into the interview process and what the team values, which can help you tailor your approach when applying through our website.
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. Emphasise any projects or coursework that demonstrate your knowledge of Python, SQL, or data analysis.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your eagerness to learn. Mention specific skills you possess and how they align with the internship's requirements.
Showcase Your Projects: If you have any personal projects, academic work, or online coursework, include links to these in your application. This will help demonstrate your practical experience and commitment to learning.
Highlight Soft Skills: In addition to technical skills, mention your communication and time management abilities. These are crucial for collaborating with a team and managing tasks effectively during the internship.
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. Talk about any personal projects or coursework you've done that relates to data analysis, Python, or SQL. This will demonstrate your genuine interest in the field.
✨Prepare for Technical Questions
Brush up on your knowledge of Python, SQL, and any relevant tools like Excel or Pandas. Be ready to discuss how you've used these skills in past projects or coursework, even if they were academic in nature.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask your interviewer about the team, the projects you'll be working on, or the mentorship process. This shows that you're engaged and eager to learn more about the role and the company.
✨Demonstrate Good Communication Skills
During the interview, focus on clearly articulating your thoughts and experiences. Good communication is key in a collaborative environment, especially when working with senior data scientists on live projects.
