5 beste Stellen als student data science in berlin – aktuell auf Personalsuche

Working Student Software Engineer (Automation & ML) (m/f/d)
Corning —Berlin
- Informatik
- Keine Berufserfahrung erforderlich
- SQL
Werkstudent:in CRM & Marketing Automation (m/w/d)
bonify —Berlin
- Teilzeit
- Hybrides Arbeiten
- CRM-Software
- Microsoft Excel
- Marketing
- Flexible Arbeitszeiten
Direkt bewerben
Senior Consultant Risikocontrolling / regulatorisches Risikomanagement - FSI (m/w/d)
Deloitte GmbH —Berlin
- Online-Bewerbung
- Englisch
- Hochschulreife
- Mit Reiseanteil
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Senior Consultant Accounting, Controlling & Gesamtbanksteuerung - FSI (m/w/d)
Deloitte GmbH —Berlin
- Online-Bewerbung
- Englisch
- Hochschulreife
- Mit Reiseanteil
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Working Student AI & Process Automation (f/m/x)
Seven Senders —Berlin
- Teilzeit
- Homeoffice
- Master
- Bachelor
- APIs
Direkt bewerben
23 Std.

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Working Student Software Engineer (Automation & ML) (m/f/d)

Corning -
Berlin

Jetzt bewerben

Details zur Stelle

Qualifikationen

Informatik
React
PyTorch
NumPy
Git
Keine Berufserfahrung erforderlich
SQL
Pandas
Docker
Bachelor
REST
Systems Engineering
APIs
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Date: May 21, 2026

Location: Berlin, DE, 10117

Company: Corning

Requisition Number: 72430

The company built on breakthroughs.
Join us.

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

Do you get a thrill from making a boring Excel workflow disappear behind a single command? Want to ship ML powered tools that real engineers use—cutting hours on internal processes and boosting accuracy? If you’re a Bachelor’s level SWE who loves turning experiments into usable products, this role is for you.

Join our Systems Engineering & Innovation team to automate manual, time consuming workflows, build internal tools and services, apply ML/AI where it adds clear value, and deliver measurable improvements in speed and quality.

What you’ll do

Map existing workflows; identify and prioritize high impact automation opportunities.

Build robust scripts/services for data ingestion, validation, parameter generation, and reporting.

Integrate with planning tools and data sources via APIs and common formats (CSV/Excel); manage lightweight data stores as needed.

Prototype and operationalize ML models (e.g., classification, recommendations, anomaly detection, optimization heuristics); track metrics and impact.

Deliver accessible interfaces (CLI or small web dashboards), with tests, docs, and clear handover.

Must have qualifications

Enrolled in a bachelor’s program (CS/EE/Math or similar) with at least one shipped project or substantial system.

Strong programming skills (Python preferred) and solid software engineering fundamentals (Git, testing, code reviews).

Practical ML/AI experience (scikit learn and/or PyTorch or similar); able to move from notebook to a usable tool.

Automation and data wrangling experience (Pandas/NumPy, SQL), working with REST APIs and CSV/Excel.

Clear, confident English; additional EU languages are a plus.

Nice to have

Exposure to networking/telecom, graph algorithms, or optimization (NetworkX, OR Tools).

Lightweight UI for internal tools (Streamlit/Dash or simple React) and CLI tooling (Typer/Click).

Containers for reproducibility (Docker). Cloud experience is not required.

Location and work mode

Berlin, Germany. Hybrid: ~60% in-office, 40% remote.

Core collaboration in CET with overlap to Gulf Standard Time; occasional meetings with US East Coast.

Hours and duration

15–20 hours per week.

12 months, with potential extension based on business needs and achievements.

Compensation

Competitive pay per company policy.

Jetzt bewerben

Erweiterte Suche

student data science Jobs in berlin

Working Student Software Engineer (Automation & ML) (m/f/d)

Werkstudent:in CRM & Marketing Automation (m/w/d)

Senior Consultant Risikocontrolling / regulatorisches Risikomanagement - FSI (m/w/d)

Senior Consultant Accounting, Controlling & Gesamtbanksteuerung - FSI (m/w/d)

Working Student AI & Process Automation (f/m/x)

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