Ibm Cloud Developer & Data Scientist

Anistar Technologies; Napoli; In loco; EUR 30.000 - 40.000; Tempo pieno

Descrizione del lavoro

A leading tech consultancy is seeking motivated new graduates for a role in application solutions development. Located in Naples, candidates will learn from senior architects and focus on enhancing enterprise IT ecosystems. Responsibilities include application component development, data analysis, and the creation of machine learning models. Ideal candidates have a Master's degree in a relevant field and knowledge of programming languages like Java and Python. Strong interpersonal skills and proficiency in English are essential.

Competenze

• Master's level degree in relevant fields is required.
• Knowledge of major programming languages is essential.
• Intermediate English language skills are necessary.

Mansioni

• Support development and running phase of application solutions.
• Understand architectures of existing applications.
• Contribute to data-driven solutions and machine learning model development.

Conoscenze

Programming languages (Java, Python)

SQL knowledge

Cloud programming knowledge

Machine learning concepts

Data analysis libraries (pandas, NumPy)

Interpersonal skills

English language proficiency

Formazione

Master's Degree in Computer Science, Engineering, or Mathematics

Strumenti

Data visualization tools (PowerBI, Tableau)

Version control tools (Git)

Descrizione del lavoro

Introduction

A career in IBM Consulting is rooted by long‑term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.

Hiring location is Naples, but work activities will be based in Salerno.

Your Role And Responsibilities

We are looking for motivated and tech‑passionate new graduates to support development and running phase of application solutions. This role requires ability to understand architectures of existing applications, support development of new functionalities and / or re‑engineer highly complex application components, to integrate software packages and reusable objects.

You will work with senior IBM architects, analysts, and developers in order to learn how you can understand enterprise IT ecosystems, how to verify the correct executions of applications and batches, how to enhance them in order to introduce new functionalities that bring benefits and innovation to the customer solutions.

In addition, you will support analytical activities related to data‑driven solutions, contribute to exploratory data analysis, and participate in the development and experimentation of machine learning models to enhance decision‑making and automation for client use cases. You may contribute to tasks such as data preprocessing and feature engineering, model evaluation and validation, and documentation of analytical requirements and findings.

Preferred Education

• Master's Degree in one of the following fields: Computer Science, Engineering, Mathematics
• Knowledge of major programming languages such as Java, Python
• Knowledge of SQL, relational and non‑relational database
• Intermediate knowledge of cloud programming and Generative AI
• Familiarity with machine learning concepts and basic statistical modeling techniques (classification, regression, clustering)
• Basic experience with Python data analysis libraries (pandas, NumPy, scikit‑learn) or equivalent academic exposure
• Understanding of data preprocessing and exploratory data analysis concepts
• Interest in developing skills around model development, evaluation, and interpretation
• Intermediate knowledge of English language
• Good interpersonal and communication skills

Preferred Technical And Professional Experience

• Data Science, Machine Learning, Statistics or related fields
• Data visualization tools (PowerBI, Tableau, matplotlib, seaborn) for analytical storytelling
• Proficiency with version control tools (Git) for collaborative analytical workflows