Data Scientist - Artificial Intelligence

IBM; Milano; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading IT consultancy in Italy is seeking a mid-senior level Data Scientist to join their team. The role involves collaborating on data-driven challenges, developing machine learning models, and improving decision-making. Candidates should have a Bachelor's degree and a minimum of 2 years' experience in AI-related projects. This full-time position offers a dynamic work environment focused on continuous improvement and skill development.

Competenze

• Minimum 2 years working as a data scientist with AI project involvement.
• Academic background in data science, statistics, computer science, or related field.
• Familiarity with machine learning concepts and statistical modeling.

Mansioni

• Collaborate with team members on data-driven challenges.
• Analyze and resolve data inconsistencies and model performance issues.
• Develop and experiment with machine learning models.

Conoscenze

Data Science

Machine Learning

Statistics

SQL

Python

R

Formazione

Bachelor's Degree

Descrizione del lavoro

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Introduction

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 in 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 Red Hat. 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

Seniorities

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting