Data Scientist - Digital Finance Hub

Novartis; Barcelona; Híbrido; EUR 30.000 - 40.000; Jornada completa

Descripción de la vacante

A leading pharmaceutical company in Barcelona is seeking an entry-level Data Scientist to contribute to their Digital Finance Hub. The role involves developing algorithms and conducting data analysis using Python and SQL. Ideal candidates should have a degree in a quantitative field and strong analytical skills. This position offers a hybrid work model and the opportunity to grow in a dynamic, multicultural environment.

Formación

• 3 years of experience as Data Scientist.
• Fluent in English (written and verbal).
• Academic experience in multidisciplinary data and analytics environment.

Responsabilidades

• Support Python development of new algorithms and statistical models.
• Pilot tools and analytical techniques for business questions.
• Develop new quantitative methods to improve processes.

Conocimientos

Predictive modeling

Data analysis

Python

SQL

Analytical skills

Problem-solving

Communication skills

Educación

Degree in Mathematics, Statistics, Computer Science, Physics or related field

Descripción del empleo

Overview

Data Scientist - Digital Finance Hub at Novartis

Location: Barcelona, Spain (hybrid, 12 days / month in office)

The Barcelona Digital Finance hub is a start-up within Novartis, which crafts finance business partnering solutions demonstrating innovation and talent. Artificial intelligence and predictive analytics are reshaping the function and this team has become a differentiator, encouraging new ideas. To add even greater value for the business we need to have the right people with the right capacities in the right location. We need ground-breaking innovation, customer-orientation and focus on bringing the best services and solutions to the business – both globally and locally – to support Finance. We are looking for early talent with experience in consulting or business partnering who are eager to make a difference.

The hub offers a real opportunity to develop in a highly fast-paced, multicultural, technology-driven environment where collaboration and innovation are at the heart of who we are and what we do.

This is an entry level position intended for a professional with minimal of experience that will challenge and grow their technical skills in Data Science.

Key Responsibilities

• Support on the Python development of new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
• Quickly learn and pilot the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions and to improve status quo.
• Bring understanding of one or more areas of data science and demonstrate practical knowledge of techniques.
• Help developing new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources.

Qualifications

• 3 years of experience as Data Scientist
• Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field
• Academic experience in a multidisciplinary data & analytics environment or in research.
• Experience in predictive modelling and large data analysis.
• Experience in Python
• Experience in SQL
• Strong analytical and problem-solving skills.
• Good communication and presentation skills
• Interest to grow and develop in the Finance sector
• Fluent English (written and verbal)

Why Novartis

We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.

Commitment To Diversity & Inclusion

Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.

Next steps

To stay connected with Novartis career opportunities, consider joining the Novartis Network.

Job details

• Seniority level : Entry level
• Employment type : Full-time
• Job function : Engineering and Information Technology
• Industries : Pharmaceutical Manufacturing