STAGE - Junior AI & Data

Wavenure; Milano; Ibrido; EUR 5600 - 11.000; Tempo pieno

Descrizione del lavoro

The WAVENURE team invites applicants for a 6-month internship as a Junior Data Scientist focused on conceiving, developing, managing and maintaining AI forecasting models used in investment decisions on financial markets.

The role emphasizes participation in the software lifecycle, code maintenance, and collaboration with Product Managers to translate requirements into robust data-driven solutions. English fluency is required while working autonomously in a team.

Competenze

• Master's degree in STEM fields or related disciplines is required.
• Academic knowledge of statistical models for modeling and data analysis is essential.
• Fluency in English is mandatory for collaboration and reporting.

Mansioni

• Participate in the full software development lifecycle (design, implementation, integration, QA).
• Maintain and refactor existing codebase; analyze performance and fix bugs.
• Collaborate with Product Managers and Functional Analysts to gather and implement requirements.

Conoscenze

Statistical modeling

Data analysis

English fluency

Formazione

Master's degree in STEM

Strumenti

Python

Matlab

R

Descrizione del lavoro

The internship lasts 6 months and is aimed at recruitment.You will be involved in R&D projects within the WAVENURE team as a Junior Data Scientist, with the aim of conceiving, developing, managing and maintaining Artificial Intelligence forecasting models in the context of investment decisions on financial markets.

Responsibility

• Participate in the software development lifecycle (design, implementation, integration and interaction with QA).
• Maintain existing code base (refactoring, bug fixing, analysis and performance optimization).
• Collaborate with Product Managers and Functional Analysts for receipt of requirements.

Training and Technical Skills required

• Master's degree in STEM subjects, current or obtained less than 12 months ago.
• Academic knowledge of statistical models for modeling and data analysis.
• Strong propensity/interest in new technologies.
• Knowledge of one or more programming languages (Python, Matlab, R), including packages used in Machine Learning.
• Fluency in English.
• Familiarity with mathematical modeling.
• A solid knowledge of the financial markets compensates for any other missing or partial skills.

Personal characteristics

The ideal candidate has communication skills, can work autonomously and proactively and has an aptitude for teamwork and problem solving.Attitude and motivation are key factors.

Nice to have

• Proficiency in object oriented programming.
• Familiarity with using database query language and APIs.
• Knowledge of financial markets.
• Experience, even brief, in data modeling.