How do I apply for the Data Science Intern position at quantco- and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at quantco- paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Data Science Intern role?

This position is a full-time, structured as a on-site role, with an expected duration of 3 months.

What educational background or degree level is required for the Data Science Intern at quantco-?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master, PhD.

Does quantco- provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Data Science Intern

quantco-

Found 2 months ago

Location

Berlin, Germany

Duration (Months)

3 Months

Time

Full-time

Work Mode

On-site

Salary

generous compensation package that includes a base salary, bonus, relocation and housing support along with additional location-based benefits

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master
PhD

Skills & Qualifications

Technical Skills

machine learning techniques
causal inference
coding
working with data
SQL
Git
Cloud infrastructure

Soft Skills

team players
quantitative abilities
Ability to see solutions and opportunities that others do not see
High level of commitment and reliability
good balance of pragmatism and perfectionism

Job Description

Data Science Interns at QuantCo will learn what it takes to create impact from data: identifying the right framework and questions to translate a business challenge into a statistical problem; locating and combining data sources as well as transforming large datasets; running in-depth analyses; building machine learning models that automate large-scale decisions and integrating them into live business processes; and interpreting, visualizing, and communicating results to internal and external stakeholders.

Requirements

excellent quantitative abilities
A degree in economics, statistics, mathematics, computer science, engineering, physics, or similar fields at a leading university
In-depth understanding of mathematical and statistical concepts behind most common machine learning techniques and an interest in causal inference questions
Experience in coding and working with data (from a previous research or industry internship or extensive course projects)
Ability to see solutions and opportunities that others do not see
High level of commitment and reliability, good balance of pragmatism and perfectionism
Business proficiency in English

Data & Analytics

Data Science

Languages

English

Nice to Haves

SQL
Git
Cloud infrastructure

Apply Now

9Open Positions