Hiring.Camp

Data Scientist Intern - February 2027 | NYC

Ardian Careers

·

Yesterday

Location
USA - New York - 1370 Avenue of the Americas New York, United States of America
Type
Internship
Department
Education
Seniority
Internship
Source
Workday

Description

The Role


Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (ie industrial companies in various sectors such as renewable energy, transportation, retail, healthcare etc.) as well as more transverse projects within the company (such as generative AI, etc.)


This position requires a certain degree of autonomy, always accompanied by regular supervision from other data scientists and team managers. It also offers direct exposure to the management of the concerned companies, as well as current issues of decarbonization and sustainable development.


Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities.

 

Required Skills


·       Rigor

·       Motivation

·       Autonomy

·       Responsiveness

·       Team spirit and excellent communication skills

·       Ability to simplify complex technical concepts

·       Efficiency


Profile


·       3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science, Statistics, Mathematics, Operations Research, or related field

·       Prior experience in data science required

·       Advanced proficiency in Python required

·       Fluent English essential

·       Good command of Excel and PowerPoint appreciated

 

Other information


Remuneration based on profile

Monday – Friday meals provided in Ardian's office

Open to J1/F1 sponsorship

To enhance your recruitment prospects and prepare for potential interviews, please consult our Resource Center. There, you will gain access to a wide range of advice, preparatory materials, and testimonials.

Skills

PythonData ScienceExcel

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