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Salaire brut min
43 800 € / an 3 650 € / mois 24,07 € / heureSalaire brut estimé
52 500 € / an 4 375 € / mois 28,85 € / heureSalaire brut max
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Data Science Intern F - M - X H/F Dynatrace
- Boulogne-Billancourt - 92
- CDI
- Télétravail occasionnel
- Bac +5
- Secteur informatique • ESN
Détail du poste
Your role at Dynatrace
We are looking for a Machine Learning Feature Engineering Intern to support the development of a churn prediction model. In this role, you will work closely with the data science team to explore and extract insights from large internal databases, transforming raw operational data into high-quality features for machine learning.
Your primary focus will be screening and querying multiple internal data sources (relational databases, and historical user data) to identify meaningful signals that can improve predictive performance. This internship is well-suited for candidates with strong Python and SQL skills who want hands-on experience in applied machine learning and feature engineering at scale.
Responsibilities:
- Explore and analyze internal databases to identify candidate features relevant to churn, guided by business expertise
- Write SQL queries for data extraction, maintaining clean and reusable code in an existing codebase
- Collaborate with data scientists to improve machine learning model in Python
- Document assumptions, transformations, and feature definitions for reproducibility. Package features into a repeatable pipeline
What will help you succeed
- Currently pursuing a Bachelor's degree in Computer Science, Data Analysis, or a related field
- Interest in a career in Data Science, Software Engineering, or Technology
- Basic SQL skills,Python, relational databases basics, machine learning basics, Snowflake framework is a plus.
- Understanding of primitive and basic abstract data structures
- Exposure to data pipelines and how data flows between systems
- Excellent written and spoken french skills
- Growing ability to prioritize work with mentor support
- Willingness to follow coding and documentation standards
- Adaptability to team processes, tools, and workflows
Why you will love being a Dynatracer
- Dynatrace is a leader in unified observability and security.
- We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance.
- Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances.
- The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate cloud operations, deliver software faster and more securely, and enable flawless digital experiences.
- Over 50% of the Fortune 100 companies are current customers of Dynatrace.
Compensation and Rewards
We offer a yearly gross salary of €30 400for University students.
We're proud to be an equal opportunity employer. We welcome your unique background, talents, values, and ideas-because diversity makes us stronger.
How to apply
Are you excited to join us? Then apply online right away, uploading your CV and most recent transcripts (record of grades).
Please note that all CVs written in languages other than English will be automatically discarded.
Are you excited to join us? Then apply online right away, uploading your CV and most recent transcripts (record of grades).
Please note that all CVs written in languages other than English will be automatically discarded.
Bienvenue chez Dynatrace
Who we are
is the world-leading AI-powered observability platform. We're advancing observability for today's digital businesses, and helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze every transaction, automate at the speed of AI, and innovate faster and without limits to drive their business forward.
Publiée le 19/03/2026 - Réf : DYNAT_8K17QZK
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Data Science Intern F - M - X H/F
- Boulogne-Billancourt - 92
- CDI
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