Data Scientist

Acpv Architects Antonio Citterio Patricia Viel; Milano; In loco; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

A leading architectural firm in Milano is seeking a Data Scientist Intern to join their Digital & Design Technology Department. The intern will work on projects involving data analysis, Machine Learning, and Generative AI, collaborating with the R&D team. Applicants should be students at the Bachelor's or Master’s level and possess skills in Python and data visualization. This position offers a unique opportunity to integrate AI into architectural solutions.

Competenze

• Knowledge of Python and related libraries for data analysis is required.
• Experience with Machine Learning algorithms and generative models.
• Ability to visualize data effectively and create insightful reports.

Mansioni

• Collaborate with the R&D team on innovative projects.
• Work with predictive models and Generative AI solutions.
• Build and optimize data pipelines for project efficiency.

Conoscenze

Data Science

Machine Learning

Python

Data Visualization

Formazione

Student (Bachelor's or Master’s)

Strumenti

Pandas

NumPy

Scikit-learn

SQL

Power BI

Descrizione del lavoro

Overview

ACPV ARCHITECTS Antonio Citterio Patricia Viel is an international collective with the aim of nurturing shared well-being through unique, high-profile architectural solutions worldwide. Founded in 2000 by Antonio Citterio and Patricia Viel, the studio is currently enhanced by the creativity of more than 200 professionals and the leadership of 13 partners. From urban planning to residential and mixed-use developments, from corporate campuses to public buildings and hotels, each ACPV ARCHITECTS project embodies a new vision where nature and the noblest human aspirations can find new centrality.

The Digital & Design Technology is the innovation engine of ACPV ARCHITECTS; it drives the studio's digital transformation by integrating artificial intelligence, data-driven design, generative workflows, BIM, and computational methods into the heart of the architectural process. With a dual focus on technological excellence and sustainable innovation, the department develops bespoke digital solutions, establishes standards and protocols for design efficiency, and ensures seamless integration of emerging technologies. By fostering a culture of continuous learning, experimentation, and cross-disciplinary collaboration, the Digital & Design Technology Department enhances project performance, optimizes resources, and positions ACPV at the forefront of architectural innovation.

Position: ACPV ARCHITECTS, within its Digital & Design Technology Department, is seeking a Data Scientist Intern passionate about data analysis, Machine Learning, and Generative AI. The intern will collaborate with the R&D team on innovative projects, working with predictive models and Generative AI solutions applied to fields of architectural design.

Learning Objectives

• Deepen knowledge in Data Science and Machine Learning.
• Gain experience with generative models (e.g., GPT, Transformer).
• Apply AI technologies to real-world projects.
• Build efficient data pipelines.
• Improve technical communication through reports and visualizations.

Skills To Acquire

• Design and optimization of ML and Generative AI models.
• Data pipeline development and advanced analytics.
• Data visualization with charts and dashboards.
• Soft skills: teamwork, problem-solving, communication.

Requisiti : Student (Bachelor's or Master’s).

Technical skills :

• Python (Pandas, NumPy, Scikit-learn).
• Machine Learning: predictive algorithms and generative models (GAN, Transformer).
• Generative AI: OpenAI GPT, Hugging Face Transformers, etc.
• Data Visualization: Matplotlib, Seaborn, Power BI. Databases: SQL, preferably NoSQL.
• Git and versioning.
• Deep Learning (TensorFlow or PyTorch – optional).

Altre informazioni :

ACPV is committed to creating a better working environment by supporting workforce diversity. All applications for vacant positions will be welcomed and considered based on merit, regardless of nationality, gender, sexual orientation, marital status, disability, age, religion, or belief.