S
Shift Technology
Data scientist Internship
Skills
Big DataData ScienceRMachine LearningAITalent AcquisitionNLP / Natural Language Processing
7 days ago
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Important information
Contract type:
Internship
Location:
Paris, France
Work mode:
Onsite
Published on:
21 October 2026
What they need
Who you are
- You are currently enrolled as a master's degree student in either Mathematics, Statistics, Computer Science, Machine learning and/or Big Data
- You must be able to provide an internship agreement (Convention de stage) signed by your school or university for 6 months
- You have experience in object-oriented programming (OOP) such as prior internship, school and/or personal projects so you can write quality production code
- You are comfortable dealing with clients
- French is mandatory at a fluent level and you can communicate clearly in English
- You can start your internship around February/March 2027 for 6 months
What the job involves
- Setting up and deploying data processing pipelines, such as data reception (batch or real-time), data cleaning, information extraction, and calibration of fraud detection models
- Collaborating with clients to understand their needs and incorporating their feedback to enhance our solutions
- Conducting R&D to drive product innovation (machine learning, NLP, image analysis, trend analysis, chatbots, etc.)
- Supporting the sales team by participating in prospect demos
- Partnering in an entire Data Science product lifecycle : Understand how sales, legal, product, engineering are connected together to deliver an AI product to clients
The application process
- If your application and experience meet our requirements, you can expect :
- Talent Acquisition interview (30 min)
- 1st Technical interview(60 min)
- 2nd Technical interview (60 min)
- Hiring manager interview (60 min)
- The interview process can take 2 to 3 weeks, depending on the interviewer's availability. Be sure that we are doing our best to get back to you with an answer as fast as possible. If you are not getting an update on your application after 10 days, please reach out to our email address
Benefits
- Flexible remote and hybrid working options
- Competitive Salary and a variable component tied to personal and company performance
- Company equity
- Generous PTO and paid holidays
- Parental leave opportunities
- Extensive mental health benefits provided via our global Employee Assistance Program
- Paid volunteering time - 16 hours annually
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