Who are we?

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JS is an IT consulting firm specialized in the Anti Financial Crime transformation.

We act as technical and business partner to our clients, facilitating the translation from “business needs” to tailor‑made technical solutions.

Our job is delivering highly qualified consultancy on the ground of your AFC IT infrastructure in order to secure, boost or smoothen your transformation or your business‑as‑usual activities.

We integrate into our clients’ value chains meeting project needs, supporting resource ramp‑up, providing functional or technical expertise that support achieving transformation goals within the expected deadlines or taking on entire end‑to‑end projects (installation and integration of new solutions, upgrade projects, migration, or massive evolution of existing solutions).

Who are we looking for?
We are seeking a

Junior Data Scientist

to join a dynamic, AI‑focused team dedicated to delivering tangible business value through innovative technologies.

In this role, you will support the development of AI solutions by contributing to data exploration, data preparation, and model development activities, working closely with more senior team members.



You will operate in a collaborative and growth‑oriented environment, gaining exposure to real‑world use cases across sectors such as financial services, insurance, and public administration.

Required Qualifications

Master’s degree in a STEM discipline (or equivalent practical experience)

Foundational understanding of Machine Learning concepts and common AI models

Basic knowledge of data handling and relational databases

Good programming fundamentals in Python (or similar languages)

Preferred Qualifications

Academic or internship experience in AI/ML projects

Familiarity with xlwpduy version control systems (e.g., Git)

Exposure to data visualization tools (e.g., Power BI or similar)

Interest or initial exposure to AI agent frameworks (e.g., LangChain or similar)

Technical Skills

Basic to intermediate programming skills in Python

Familiarity with common data science libraries such as: Pandas, NumPy, Scikit‑learn

Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) is a plus

Basic knowledge of SQL

Languages

Mandatory: English, fluent written and spoken

Optional: other European language

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📌 Junior Data Scientist (Palermo)
🏢 Altro
📍 Palermo