Internship - Data Scientist & Engineer (English Speaking)

Igbaffiliate; Stockholms kommun; Sur place; SEK 11 160 - 16 740; Plein temps

Résumé du poste

Igbaffiliate is offering a short-term summer internship for a Data Scientist & Engineer based in Stockholm. This internship provides hands-on experience with data science methodologies and allows candidates to work on impactful data infrastructure projects.

The ideal candidate is someone currently studying or recently graduated in relevant fields such as data science or computer science, with strong knowledge of Python and a passion for learning. This internship will last for 2–3 months.

Qualifications

• High level of commitment required.
• Eagerness to learn and continuously improve.
• Smartness and curiosity about data.

Responsabilités

• Clean, transform, and validate data to ensure reliability and usability.
• Apply machine-learning approaches to support data matching, classification, enrichment, and automation.
• Build or fine-tune data-science models to address real-world business problems.
• Collaborate closely with data engineers to deploy models in production and ensure sustainability.

Connaissances

Python

Data Science

Machine Learning

SQL

GCP

Pandas

Matplotlib

Scikit-Learn

Hugging Face

Formation

Currently studying or recently graduated in data science, computer science, engineering, statistics, mathematics, machine learning, or a related field

Description du poste

Internship - Data Scientist & Engineer (English Speaking)

Short‑term summer internship or temporary work contract (2–3 months) based in Stockholm.

What We Offer

• Hands‑on experience with data science, NLP, clustering, classification, and model evaluation.
• Opportunity to work on real data‑infrastructure projects that impact business.
• Learning how data science and engineering collaborate to connect, structure, and improve data flows.
• Dynamic work environment with flexible schedule.

What We Expect

• High level of commitment.
• Eagerness to learn and continuously improve.
• Smartness and curiosity about data.
• Positive, solution‑oriented mindset.

Ideal Candidate

Someone currently studying or recently graduated in data science, computer science, engineering, statistics, mathematics, machine learning, or a related field.

Should be comfortable coding in Python and have practical experience working with data.

Experience with SQL, GCP, pandas, matplotlib, scikit‑learn, and Hugging Face is a plus.

Responsibilities

• Clean, transform, and validate data to ensure reliability and usability.
• Apply machine‑learning approaches to support data matching, classification, enrichment, and automation.
• Build or fine‑tune data‑science models to address real‑world business problems.
• Collaborate closely with data engineers to deploy models in production and ensure sustainability.

Start and Contract

Start: as soon as possible.

Contract: 2–3 months internship or temporary work contract.