How do I apply for the Data Science Internship position at NewNow 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 .

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

This position is a not disclosed, structured as a hybrid role, with an expected duration of 3 months.

What educational background or degree level is required for the Data Science Internship at NewNow?

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

Does NewNow 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 Internship

NewNow

Found 2 months ago

Location

Frankfurt, Germany

Duration (Months)

3 Months

Time

Not disclosed

Work Mode

Hybrid

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master
PhD

Skills & Qualifications

Technical Skills

SQL
Python
Apache Spark
Hadoop
AWS
Google Cloud
Azure
Pandas

Soft Skills

problem-solving
entrepreneurial mindset
strong academic performance
Eagerness to learn

Job Description

As a Data Engineering Intern, you will support the team in building and maintaining the infrastructure that transforms raw data into actionable insights, helping our clients achieve their goals. You will work on real-world data engineering tasks and contribute to projects that impact the success of our company.

Requirements

Currently enrolled in a university program, studying Computer Science, Engineering, or a related discipline, with strong academic performance.
Eagerness to learn and develop skills in data engineering, cloud-based data platforms (e.g., AWS, Google Cloud, Azure), and data processing frameworks such as Apache Spark or Hadoop.
Familiarity with database systems, data warehousing, and ETL processes.
Proficiency in SQL and experience with programming languages like Python (experience with Pandas is a plus).
A passion for problem-solving and tackling technical challenges.
A strong interest in start-ups and an entrepreneurial mindset.
Fluent in English (Fluency in German is a plus).
Availability to work remotely (within CET +/- 2 hours) or occasionally join us in our Frankfurt or Berlin Co-Working Space.

Data & Analytics

Data Engineering

Languages

English

Nice to Haves

Fluency in German

Apply Now

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