Data scientist (End-of-Studies Internship)

Job summary
Internship(6 months)
Paris
Salary: Not specified
Starting date: January 01, 2025
Occasional remote
Education: Master's Degree
Skills & expertise
Generated content
Data visualization
Collaboration and teamwork
Pandas
Sql
Python

Dipli
Dipli

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Questions and answers about the job

The position

Job description

As part of our Data & AI team, you will be fully involved in evolving our solutions and data infrastructure. You’ll get hands-on experience across the full data lifecycle, from data collection to operational and predictive implementation.

As a Data Engineer at Dipli, your main responsibilities will include:

  • Collecting data from various sources (APIs, relational databases, CSV files, etc.).

  • Pipeline Optimization: Maintaining and improving our data pipelines to ensure the smooth supply of data to our Data Warehouse.

  • Exploratory Analysis: Explore datasets to extract impactful insights that drive strategic and operational decision-making.

  • Predictive Modeling Design and train Machine Learning models for tasks such as price forecasting and customer segmentation.

  • Data Visualization Build interactive dashboards to make data accessible and actionable for business teams.

  • Tech Watch: Stay up to date with the latest advancements in AI, Machine Learning, and Big Data tools to enhance our methodologies.

IMPORTANT : This role does not require proficiency in French, as all interactions within the team are conducted in English.”


Preferred experience

  • Excellent team spirit and ability to collaborate with internal and external teams.

  • You have a strong passion for tech and innovation

  • You can work autonomously and stay organized.

  • You are proficient in Python and familiar with data analysis / Machine Learning libraries (pandas, seaborn, etc.).

  • You are comfortable with SQL.

  • Excellent written and spoken skills in English


Recruitment process

  • 1 phone interview (20 minutes)

  • A 30-minute video or in-person interview with a technical test.

  • 1 in-person interview at the office.

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