Data Scientist
Novartis · Barcelona Gran Vía ·
- Work mode
- Hybrid
- Category
- Data science
- Experience
- 5+ years
- Salary
- EUR 24,200 – 45,000 / year
Novartis · Barcelona Gran Vía ·
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Build and deploy machine-learning models and statistical analyses in Python to extract insights from healthcare data, improving patient outcomes and business decisions.
Salary Range:
€24,200.00 - €45,000.00
Job Description Summary
#LI-Hybrid
Job Description
Key Responsibilities
Essential Requirements
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:
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)Amgen · United Kingdom - Cambridge