Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
About the role
- Internship in Data Science at Ekimetrics, leaders in data science and AI solutions. Engaging in technical problem-solving and developing machine learning models.
Responsibilities
- Business needs analysis: Translate business requirements into technical problems and define measurable objectives
- Identification of technical solutions: Collaborate with the team (seniors/managers) to identify approaches that meet the project's specific requirements
- Data processing & analysis: Work with data engineers to collect, clean and preprocess the data required for model development
- Solution development: Develop and implement the identified machine learning models
- Communication and collaboration: Present technical results clearly and accessibly to the team and clients
- Technology watch: Stay up to date with technological advances and industry trends in data science and machine learning
Requirements
- Degree in AI, Machine Learning, Data Science, Statistics, Applied Mathematics, or a related field
- Strong understanding of the statistical and mathematical concepts underlying machine learning and AI algorithms
- Understanding of technical expectations and challenges when working with client teams
- Excellent communication skills to explain technical concepts in an accessible way
- Ability to analyze and propose appropriate scenarios following a scoping phase
- Demonstrates autonomy, proactivity, excellence and curiosity
- Proficient in Python and common libraries (e.g., TensorFlow or PyTorch, scikit-learn, langchain)
- Experience using version control systems, particularly Git
- Data manipulation skills, including extract, transform and load (ETL), are a plus
- Fluent English required
Benefits
- Access to the EkiA training catalogue
- A vibrant social and cultural life including sports, arts, music, leisure and charitable activities
- Numerous events and seminars
- Modern offices in a dynamic neighborhood in the heart of Paris
- Flexible remote work policy
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