The Role
Design and deploy ML and AI solutions for finance planning and forecasting. Build predictive and prescriptive models, prepare and optimize enterprise datasets, implement model monitoring and Responsible AI, and collaborate with finance stakeholders to deliver scalable analytics, dashboards, and generative AI/LLM initiatives.
Summary Generated by Built In
Salary Range:
€35,000.00 - €65,000.00Job Description Summary
#LI-HybridLocation: Barcelona, Spain
Relocation Support: This role is based in Barcelona, Spain. Novartis is unable to offer relocation support: please only apply if accessible.
As an Expert Data Science within Novartis Digital Finance, you will build innovative analytics and AI solutions that help transform planning, forecasting, performance management, and decision-making across a global organization. Working at the intersection of Finance, data science, machine learning, and emerging AI technologies, you will turn complex data into meaningful insights, develop scalable solutions with measurable business impact, and help drive the next generation of intelligent Finance capabilities. If you are passionate about solving complex challenges, delivering real business value, and exploring the possibilities of Generative AI and advanced analytics, this is an opportunity to make a meaningful difference.
Job Description
Key Responsibilities
- Design and deploy data science and artificial intelligence solutions that enhance finance planning and decision-making.
- Develop predictive, prescriptive, and machine learning models that generate actionable business insights.
- Transform complex business challenges into scalable analytics products, models, dashboards, and recommendations.
- Collaborate with Finance stakeholders to identify high-value opportunities and drive solution adoption.
- Prepare, validate, and optimize enterprise datasets to support analytics, reporting, and artificial intelligence initiatives.
- Implement model monitoring, governance, and Responsible Artificial Intelligence practices across solution lifecycles.
- Contribute to Generative Artificial Intelligence, large language model, retrieval-augmented generation, and Agentic Artificial Intelligence initiatives.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.
- 2–5 years of experience in data science, machine learning, advanced analytics, or applied artificial intelligence.
- Proficiency in Python and SQL for data analysis, model development, and scalable solution delivery.
- Strong knowledge of statistics, predictive modeling, forecasting, machine learning, and model evaluation techniques.
- Experience translating business requirements into analytical solutions with measurable business impact.
- Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.
- Experience applying data science, forecasting, planning, or performance analytics within Finance or similar business functions.
- Exposure to Generative Artificial Intelligence, large language models, retrieval-augmented generation, or Agentic Artificial Intelligence frameworks.
We are looking to fill 2 roles.
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
Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Statistical Analysis, Time Series AnalysisSkills Required
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or related field.
- 2-5 years of experience in data science, machine learning, advanced analytics, or applied artificial intelligence.
- Proficiency in Python for data analysis and model development.
- Proficiency in SQL for data analysis and scalable solution delivery.
- Strong knowledge of statistics, predictive modeling, forecasting, machine learning, and model evaluation techniques.
- Experience translating business requirements into analytical solutions with measurable business impact.
- Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.
- Implement model monitoring, governance, and Responsible AI practices across solution lifecycles.
- Experience applying data science, forecasting, planning, or performance analytics within Finance or similar business functions.
- Exposure to Generative AI, large language models, retrieval-augmented generation, or Agentic AI frameworks.
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.
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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.
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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.
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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.
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The Company
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.
