Job Overview
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Job Description
Data Science Intern
Dynatrace is seeking a Machine Learning Feature Engineering Intern to support the development of a churn prediction model. This role involves collaborating with the data science team to extract insights from large internal databases and transform operational data into high-quality features for machine learning. The primary focus will be on exploring and querying multiple internal data sources to identify meaningful signals that can improve predictive performance. This internship is ideal for candidates with strong Python and SQL skills looking for 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 models 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.
- Employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud.
- The Dynatrace platform uses cutting-edge technologies, including its own Davis hypermodal AI.
- Over 50% of the Fortune 100 companies are current customers.
Compensation And Rewards
Yearly gross salary of €30,400 for University students.
How To Apply
Apply online, uploading your CV and most recent transcripts. CVs not in English will be automatically discarded.
Key skills/competency
- Data Science
- Machine Learning
- Feature Engineering
- Python
- SQL
- Data Analysis
- Databases
- Data Pipelines
- Observability
- Churn Prediction
How to Get Hired at Dynatrace
- Tailor your resume: Highlight your Python, SQL, and machine learning basics, emphasizing any experience with relational databases or data pipelines.
- Showcase your skills: Clearly state your academic pursuits in Computer Science or Data Analysis and your interest in Data Science careers.
- Prepare for technical questions: Be ready to discuss data structures, data flow between systems, and how you'd approach feature engineering.
- Demonstrate adaptability: Emphasize your willingness to follow coding standards and adapt to team processes.
- Highlight language proficiency: Mention your excellent written and spoken French skills as required.
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