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Lead AI Engineer

General information

Division Angelini Holding
Function Information Technology
Reports to Group Chief Data & Analytics Officer
Number/role of direct reports None
Job location Roma
Site managed


Job purpose

The Data & Analytics team at Angelini Industries offers an exciting opportunity for individuals who are passionate about using their skills to handle large amounts of data The ideal candidate should feel comfortable working in a dynamic and multidisciplinary environment with the opportunity to develop machine learning models, design advanced analytics solutions, and use AI to solve interesting business problems. Within the team, applicants will apply their statistical knowledge and experience in data manipulation and visualization, develop Artificial Intelligence and machine learning solutions across a wide range of data and areas. With the chance to analyze marketing campaign performance, implement Generative AI to support business processes, optimize production lines, and support drug discovery, the role will provide the opportunity to have a direct influence on important strategic decisions.

Main Activities and Responsibilities

Developing highly effective and easily explainable AI & ML models
Analyze large volumes of data to search for insights that can guide and support business decisions
Create dashboards and data visualizations that facilitate the decision-making process by highlighting key points and suggesting actions
Identify the right tools and approaches to provide data-driven solutions to business problems
Collaborate with Data Engineers, Enterprise Architects, and Analytics Product Owners to identify the most effective tools and approaches for each project
Being a promoter of a data-driven culture throughout the entire company
Future Business Challenges:
- Identify and prioritize AI and Data initatives with measurable business impact
- Introduce innovative technology at the right time with the right use cases
- Implement an agile approach based on iterations and fast prototyping while meeting cost and time to market requirements

Other information

Education University Degree
Experience (3-5 years)

It would be nice to have product and project management experience.

In detail:

- Transformation experience

- Cross-functional career track record

- Launch an innovative Corporate Program

Differentiating expertise:

- Artificial Intelligence knowledge

- Experience on Data Science and Data Analytics

- Experience in delivery business value through data and AI

Technical and Soft Skills
Analytics & Data Science
Data Modeling & Analysis
Reporting & Presentation
Lean thinking and agile approach
Critical thinking to solve problems
Data driven decision making
Prioritizing and organising
Partnering with others
Machine learning and predictive analytics
Business insights development
Python programming experience
Communication skills
Team player
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