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Data Science and Machine Learning Professional
hace 1 mes
The Data Science and Machine Learning Internship Program at Ecovadis is designed to provide students with hands-on experience in using machine learning to drive innovation across the organization. As a member of our growing R&D Team, you will be responsible for leveraging data to solve business problems, uncovering trends and patterns, and delivering actionable business insights using statistical, data mining, and machine learning tools.
Responsibilities:
- Leverage data to solve business problems
- Uncover trends, patterns, correlations, and other relationships in data and deliver actionable business insights using statistical, data mining, and/or machine learning tools
- Experiment, build, and maintain machine learning models
- Benchmark models
- Leverage tools like Python, Azure, and SQL to drive efficient analytics
Requirements:
- Enrolled in the BSc or MSc program in a quantitative discipline (Statistics/Applied Math, Data Science, Artificial Intelligence, Computer Science, Physics)
- Keen interest in Machine Learning/NLP and data mining techniques
- Enthusiastic, can-do attitude who can work independently as well as contribute to the team
- Strong communication and problem-solving skills, curiosity, and collaborative spirit
- Any demonstrable experience in implementing machine learning models and coding in Python is a distinct advantage
- Excellent English communication skills, both written and verbal. Knowledge of other languages is a plus.
Benefits:
- Competitive salary
- Extensive onboarding and support
- Brand new e-learning platform with courses and modules
- Flexible working arrangements
- Community service day
- 150 euros monthly allowance for transportation, meals, and nursery
- Optional health care and life insurance
- Wellness allowance for sport, artistic, and wellness activities
Ecovadis is committed to creating a diverse and inclusive work environment. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, please let us know.
