8 дней назад
Internship 6 Months Data Science (AI)
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Описание вакансии
Текст:
TL;DR
Internship 6 Months Data Science (AI) (Marketing Mix Modeling and Machine Learning): Developing marketing mix modeling and marketing budget allocation optimization tools with an accent on statistical methods, Bayesian inference, and AI/ML model implementation. Focus on extracting insights from datasets, presenting analytical findings through dashboards, and collaborating with engineering, product, and marketing stakeholders.
Location: Paris 16e, France
Company
is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines to improve people’s lives.
What you will do
- Develop marketing mix modeling and marketing budget allocation optimization tools.
- Apply statistical methods and machine learning techniques to extract insights from datasets.
- Implement and fine-tune AI and machine learning models, especially Bayesian inference algorithms.
- Present findings through clear charts, graphs, and dashboards.
- Collaborate with data engineers, software engineers, product owners, and marketing stakeholders.
- Explore creative methodologies and data-driven solutions for complex challenges.
Requirements
- Master’s degree in mathematics, computer science, engineering, physics, statistics, or a related field.
- Experience with Python for data science and knowledge of big data concepts.
- Knowledge of supervised and unsupervised learning, deep learning, and large language models.
- Basic understanding of database systems.
- Fluent English required.
- Curiosity, strong communication skills, and an analytical mindset.
Culture & Benefits
- Six-month internship starting in January 2027.
- Support from mentors and collaborative teams.
- Access to modern digital tools, innovation, and continuous learning.
- Inclusive and flexible workplace focused on personal and professional well-being.
- Attractive internship bonus and, depending on the location, access to a company restaurant with a contribution.
Hiring process
- Initial telephone interview with a recruiter.
- Follow-up meeting with the manager.
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