Expert Data Science

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.

Essential Requirements

• 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.

Desirable Requirements

• 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.