Data Science Intern

Hirist; Lille; À distance; EUR 20 000 - 30 000; Plein temps

Résumé du poste

An innovative recruitment partner is seeking enthusiastic Data Science Interns for a summer internship program. This opportunity offers hands-on experience in real-world projects, allowing you to collaborate with seasoned data scientists. You'll engage in tasks like data cleaning, feature engineering, and building visualizations that drive business decisions. Ideal for students or recent grads from STEM backgrounds, this role emphasizes learning and contribution over expertise. With mentorship and exposure to industry-level projects, this internship is a fantastic stepping stone for your career in data science.

Prestations

Internship Certificate

Letter of Recommendation

Mentorship from Senior Data Scientist

Flexible Hours

Stipend Opportunity

Qualifications

• Basic knowledge of Python and/or SQL is essential.
• Curiosity and willingness to work with data are must-haves.

Responsabilités

• Collaborate with senior data scientists on live projects.
• Assist in cleaning, organizing, and analyzing datasets.

Connaissances

Python

SQL

Excel

Pandas

Numpy

Data Visualization

Communication Skills

Time Management

Formation

STEM Degree

Analytical Background

Outils

Excel

Pandas

Numpy

Description du poste

Summer Internship – Data Science (Beginner to Intermediate Levels Welcome)

Duration : 3 Months | Remote | Flexible Start

Hiring Partner : HIRIST – IT Recruitment Partner

Client : Reputed IT Company (Name confidential)

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.

HiRIST is hiring Data Science Interns on behalf of one of our IT clients for a summer internship program focused on building real solutions, not simulations or training demos.

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 :

This internship is ideal for :

• 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)
• 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 :

1. Resume Screening (emphasis on interest and motivation)

2. Basic Aptitude / Data Task (suitable for beginners too)

3. Friendly Interview with Mentor / Manager

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) .

HiRIST – Connecting the right talent with the right opportunity.