Data Scientist - Artificial Intelligence

Ibm; Bardi; In loco; EUR 35.000 - 55.000; Tempo pieno

Descrizione del lavoro

A leading technology consulting firm is looking for a Data Scientist based in Emilia-Romagna, Italy. This role involves addressing data-driven challenges, supporting AI projects, and developing machine learning models. Candidates should have a Bachelor's degree, at least 2 years of experience in data science, and familiarity with tools like SQL and Python. A keen interest in data governance and cloud-based analytics is preferred. Opportunities for travel may be required.

Competenze

• Minimum 2 years experience as a data scientist in AI projects.
• Academic background in data science, statistics, or related field.
• Familiarity with machine learning concepts from coursework or projects.

Mansioni

• Collaborate with team members to address data-driven challenges.
• Assist in developing machine learning models and analytical solutions.
• Document technical requirements for data-driven solutions.

Conoscenze

Data analysis

Machine learning

Statistical modeling

SQL

Python

R

Data visualization

Agile methodology

Formazione

Bachelor’s Degree

Strumenti

AWS

Azure

GCP

Descrizione del lavoro

In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.

Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

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; including Software and RedHat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground‑breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role And Responsibilities

Collaborate effectively with team members, both business and technical, to understand data‑driven challenges and opportunities

Maintain a strong focus on learning, quality, and continuous improvement

Support the analysis and resolution of data inconsistencies and model performance issues

Assist in developing and experimenting with machine learning models and analytical solutions to improve insights and decision‑making

Contribute to data preprocessing, feature engineering, and exploratory data analysis to enhance model performance

Help document technical requirements and support the development of data‑driven solutions

Preferred Education

Bachelor’s Degree

Required Technical And Professional Expertise

Minimum 2 years working as a data scientist with demonstrated involvement in AI‑related projects

Academic background in data science, statistics, computer science, or a related field

Familiarity with machine learning concepts and statistical modeling techniques through coursework or academic projects

Eagerness to learn and support technical teams in identifying and resolving data‑related challenges

Understanding of data modeling concepts and database principles

Basic programming skills in SQL, Python, R or equivalent language for data analysis and model development

Interest in obtaining relevant certifications in data science, machine learning, or cloud‑based analytics platforms (e.g., AWS, Azure, GCP)

Preferred Technical And Professional Experience

Agile mindset—willingness to learn, adapt to changing priorities, take initiative, and apply critical thinking

One Of The Following

• Basic understanding of data governance principles and best practices
• Exposure to data visualization and storytelling using analytical tools
• Familiarity with cloud‑based machine learning concepts and model deployment basics
• Foundational knowledge of statistical analysis, machine learning algorithms, and data preprocessing techniques

Availability to travel is required