Expert Data Scientist - Digital Finance Hub

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Grania, Barcelos, Braga, PRT
In-Office
Biotech • Pharmaceutical
The Role

Job Description Summary

Location: Barcelona, Spain
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.


 

Job Description

Your responsibilities include, but not limited to:
 

  • Translate business questions into analytical problems and build solutions using visualization techniques, machine learning, and statistical modeling.
  • Search and develop 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.
  • Identify research articles and reproduce/apply innovative methodology to Novartis business problems
  • Provide understandable and meaningful business intelligence for key partners.
  • 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.
  • Support various projects, of limited scope.

Role Requirements:

  • Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field.
  • 2-4 years of experience as Data Scientist
  • 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
  • A track record of innovating through machine learning, data bases and statistical algorithms and their applications.
  • Strong analytical and problem-solving skills.
  • Hands-on experience with data mining, its concepts, techniques and implementation.
  • Ability to work collaboratively in a team environment, aligning decisions and developments with data engineering, software development, MLOps, visualization and business teams.
  • Excellent communication and presentation skills
  • Fluent English (written and verbal)

Desirable requirements:

  • Knowledge on cloud computing (AWS)
  • Knowledge on version control systems (GIT)
  • Knowledge on project management tools (Jira)

Why consider 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.
Imagine what you could do at Novartis!
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.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetw


 

Skills Desired

Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis

Novartis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Novartis and has not been reviewed or approved by Novartis.

  • Healthcare Strength Pay and benefits are described as a strong overall package, supported by medical, dental, and vision insurance alongside FSAs/HSAs and disability and life coverage. Mental-health support is reinforced through an employee assistance program with psychological support and a network of mental health first aiders.
  • Retirement Support Retirement support is positioned as a standout element, with an automatic company contribution plus dollar-for-dollar matching in the 401(k). Additional retirement funding is described through an age-based defined contribution program and access to an employee share purchase plan discount.
  • Parental & Family Support Family-related benefits are framed as robust, including a global minimum of paid parental leave for new parents following birth or adoption. Added supports include domestic partner coverage, dependent-care resources, and benefits such as adoption assistance and child/elder care options.

Novartis Insights

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The Company
HQ: Basel
110,000 Employees
Year Founded: 1996

What We Do

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.

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