Data Scientist

Salary Range:

€24,200.00 - €45,000.00

 

Job Description Summary

#LI-Hybrid

Location: Barcelona, Spain

Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support. Please apply only if this location is accessible.

As a Data Science, you will play a key role in delivering impactful data science solutions, collaborating closely with expert peers and senior expert to transform complex project needs into meaningful outcomes for patients and the organization.

 

Job Description

Key Responsibilities 

• Build solutions using visualization techniques, machine learning, and statistical modeling.
• Support on the 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. ​

Essential Requirements

• 1,5 + years of relevant experience in Data Science
• Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field.
• Track record delivering global solutions at scale.
• In-depth mastery of external environment and trends
• In depth knowledge of Artificial Intelligence (AI), Machine Learning
• Experience in Python is a must
• Professional level of English, both written and spoken
• Strong collaboration skills and ability to work effectively across functions and teams.

Benefits & Rewards 

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. 

  

Expected Annual Base Salary Range for role: €24,200 to €45,000 

  

The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically. 

  

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. 

  

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave. 

Read our brochure to learn more about our global total rewards offering: 

https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf 

  

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment to Diversity & Inclusion 

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

 

Skills Desired

Ability To Influence Key Stakeholders (Inactive), Artificial Intelligence (AI), Curious Mindset, Data Cleansing, Data Literacy, Data Quality, Data Science, Data Visualization, Data Visualization Tools, Deep Learning, Employee Engagement, Financial And Management (Inactive), Generative AI, Learning Agility, Machine Learning (ML), Market Understanding, Planning & Analysis (Inactive), Process Optimization, Python (Programming Language), Reporting Compliance And Controls (Inactive), Statistical Data Analysis, Structured Query Language (SQL), Text Normalization, Time Series Analysis, Understanding Value Drivers (Inactive)