FIOH Trainee

Sandoz International GmbH; Madrid; Presencial; EUR 10.000 - 30.000; Jornada completa

Descripción de la vacante

A leading global healthcare company is offering a 12-month internship in Madrid focused on applying cutting-edge technologies in finance, data science, and AI. As part of the Finance Innovation and Operations Hub, you will support various projects, develop data science products, and collaborate on innovative solutions. Candidates should be pursuing a degree in Engineering, Mathematics, or Data Science with skills in programming and strong English proficiency.

Servicios

Competitive Retribution and Social Benefits

Flexible Schedule

Formación

• Currently enrolled in a program in data analytics, data science, or big data.
• Knowledge in machine learning models and time series forecasting appreciated.

Responsabilidades

• Support across all department projects.
• Develop and implement Data Science products.
• Collaborate from ideation to product transformation.
• Support existing products operations and improvements.
• Present project progress and results.
• Prepare tools for automated report generation.

Conocimientos

Programming knowledge in Python (or R) and SQL

Proficiency in IT tools (Office and database management)

Advanced English level

Experience in machine learning models

Educación

Degree in Engineering, Mathematics, or Data Science

Descripción del empleo

Overview

Sandoz continues to go through an exciting and transformative period as a global leader and pioneering provider of sustainable Biosimilar and Generic medicines. As we continue down this new and ambitious path, unique opportunities will present themselves, both professionally and personally.

As a newly independent company we are focused on growth. We see growth as the engine powering everything we want to achieve for patients. It will allow us to innovate & pioneer greater access to high-quality medicines, but we can only do this by bringing the best and the brightest minds together.

The FIOH (Finance Innovation and Operations Hub) is the team within Sandoz whose mission is to reinvent corporate finance through cutting-edge technologies such as Artificial Intelligence and Big Data. Novartis, as one of the leading companies in the pharmaceutical sector, and Sandoz, as its Generics division, are committed to improving the lives of hundreds of millions of patients through their medicines.

FIOH aims to attract high-potential talent to its team through a scholarship program. Would you like to start your career by applying the latest technologies to real business problems that impact people in their daily lives? Are you passionate about technology, AI, data science, and programming? Are you interested in finance and applying your tech knowledge to complex business challenges? This internship is for you!

Responsibilities

• Support across all department projects.
• Development and implementation of Data Science products.
• Collaborate from the ideation phase to the transformation of ideas into products.
• Support the operations of already implemented products and contribute to their improvement.
• Present project progress and results.
• Prepare tools for automated report generation.

Qualifications

• Minimum studies (completed or in progress): Degree in Engineering, Mathematics, or Data Science. Currently enrolled in a program in data analytics, data science, or big data that allows for a formal internship agreement.
• Proficiency in IT tools (Office and database management).
• Programming knowledge in Python (or R) and SQL.
• Advanced English level. The team is international and uses English daily.
• Experience in machine learning models and time series forecasting will be valued.
• Personal skills: proactivity, independence, initiative in problem-solving, analytical/critical thinking, and communication skills.

What You’ll Receive

• Internship Duration: 12 months.
• Competitive Retribution and Social Benefits.
• Place of Work: Madrid.
• Flexible Schedule: from Monday to Thursday from 08:00-09:30 to 17:30-19:00.

Note

This site is intended for a global audience