Internship - Data Scientist (M/F)

Key Skills

Java Programming, Teamwork, Design, Python Programming, SQL, Aartificial intelligence, Machine learning techniques, Data science techniques, Deep Learning, R Programming, Algorithms, Mathematics

Job Description

Your internship will be organized as follows:

• Analyze in detail the types of data collected by the daily applications of the company with a view to their analytical exploitation
• Participate in the development of simulation and experimentation tools
• Integrate and adapt effective Machine Learning algorithms into production tools and environments
• Collaborate on Lab projects, and the achievement of milestones.
• Contribute to the design of the technical solution chosen to collect, analyze and process data, and display the results obtained.

CONTRIBUTION OF THE POSITION:

Through your participation in this project, you will be able to acquire unique professional experience allowing you to:

• to discover the company and to have a quality reference within the BNP Paribas group allowing you to then integrate into the professional world,
• to acquire real technical skills and to deepen your theoretical knowledge, and to have experience of teamwork

WORKING ENVIRONMENT:

BGL BNP PARIBAS has initiated several projects within its Data Science Lab aimed at developing and optimizing the exploitation of data using Machine Learning and Deep Learning techniques.

The subject of your internship will fit into this context and will consist of studying and proposing a solution to identify a behavioral segmentation which will ideally be prototyped and tested with one or more real use cases.

YOUR PROFILE

Study:

Student in science (physics, mathematics, biology, computer science), ideally engineer profile in 5th year

BEHAVIORAL COMPETENCIES:

• Ability to synthesize / simplify
• Rigor
• Organizational ability
• Ability to collaborate / teamwork
• Be results oriented
• Proactivity

Transversal Skills:

• Analytical skills

TECHNICAL SKILLS :

• Major interest in the fields of artificial intelligence
• In-depth knowledge of Machine Learning, Deep Learning algorithms, etc.
• Mastery of a programming language (Python or R)
• Special interest in new technologies

Language skills :

• English proficiency