AI & Data Scientist

AstraZeneca; Milano; In loco; EUR 45.000 - 65.000; Tempo pieno

Descrizione del lavoro

A leading pharmaceutical company in Italy seeks an experienced AI & Data Scientist to support innovative projects through AI-driven analysis. The ideal candidate will have a master's degree and significant experience in data science, with strong skills in SQL and Python. You will design AI models, optimize processes, and collaborate with diverse teams to drive business insights. Fluent English and Italian required. Join us to drive data-driven innovation in healthcare.

Competenze

• 3+ years of relevant work experience in data science or advanced analytics.
• Deep understanding of AI and solid background in statistics and predictive modeling.
• Fluent written and spoken English and Italian.

Mansioni

• Leverage technical expertise to collaborate with cross-functional teams.
• Design and implement scalable AI solutions.
• Translate quantitative analyses into actionable outputs.

Conoscenze

AI and statistical modeling

Data analysis

Machine learning

Programming in SQL and Python

Communication skills

Formazione

MS degree in Mathematics, Physics, Statistics, Data Science, or Computer Science

Strumenti

SQL

Python

R

Dataiku

PowerBI

Descrizione del lavoro

Overview

At AstraZeneca we believe in the potential of our people and you’ll develop beyond what you thought possible. We make the most of your skills and passion by actively supporting you to see what you can achieve no matter where you start with us.

Reporting to the Data Science & AI Head, the AI & Data Scientist will work within the Innovation Unit and Business Excellence Department to promote and maintain a rigorous, objective data-driven attitude across cross-functional teams.

In this role, the candidate will:

• Leverage technical expertise and analytical mindset to collaborate with cross-functional key partners, quantifying new opportunities and identifying emerging challenges in a dynamic and innovative environment.

• Design and implement scalable AI solutions, driving the understanding of business phenomena by leveraging advanced AI solutions, including machine learning algorithms and deep learning models, as well as traditional statistical models, to generate actionable business insights and improve and simplify processes.

• Apply robust methodologies in data science to optimize processes, simplify workflows, and improve effectiveness across commercial and innovation functions.

• Extract knowledge from structured and unstructured data sources, applying robust statistical designs and AI-powered approaches, and developing scalable analytical solutions tailored to the pharmaceutical and healthcare sector.

• Explain sophisticated data patterns and technical concepts to both technical and non-technical audiences and support ad-hoc analyses as required.

• Deliver ad hoc analyses, define key business metrics, and maintain reusable models to ensure continuous business impact.

Come and spread your data-driven passion with us!

Main Duties and Responsibilities

Key Activities:

• Use scientific methods, artificial intelligence techniques, algorithms and processes to extract knowledge and insights from structured and unstructured data sources relevant to pharmaceutical and commercial initiatives.

• Design, develop, and deploy AI-driven machine learning and deep learning models to support business decisions, process optimization, and innovation.

• Apply statistical design and appropriate methodology to meet insight needs, including preparing, cleaning, and preprocessing data for AI-powered analytics.

• Translate quantitative analyses into clear, actionable outputs for diverse business units.

• Conduct and share complex quantitative analyses in a clear, actionable manner across different business units, ensuring robust communication with both technical and non-technical stakeholders.

• Define and report key business metrics and actionable insights, supporting strategic decision-making and business development across various franchises.

• Maintain and update reusable, scalable AI-based analytical models for recurring analyses and evolving business use cases.

• Collaborates with different franchises to develop strategy and drives results.

Essential Requirements

• MS degree in a quantitative discipline (e.g. Mathematics, Physics, Statistics, Data Science, Computer Science).

• 3+ years of relevant work experience in data science or advanced analytics or statistical modelling (additional experience is valued).

• Deep understanding of AI, solid background in stats/ML and predictive modelling, including hands-on experience with data architecture and relational databases.

• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).

• Strong analytic mindset, logical thinking capability, problem solving orientation, and strong business acumen.

• Intellectually curious, data-oriented and communicative.

• Teamworking spirit.

• Fluent written and spoken English and Italian.

Desirable Requirements

• Knowledge of Dataiku and modern data visualization (Qlik, PowerBI etc).

• Familiar with agile methodology and cross-functional projects.

• Advanced training (Master's, specialized courses) in Artificial Intelligence, Data Science, or related fields.

A unique opportunity to bring data-driven innovation to healthcare, combining technical depth with business impact.

Next Steps – Apply today!

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Line Manager can know that you feel well qualified for this opportunity. If you know someone who would be a great fit, please share this posting with them.

Date Posted

08-ott-2025

Closing Date

22-ott-2025

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.