Data Science and AI Specialist

Key Responsibilities:

• Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modeling. - Search and develop data management techniques, new algorithms, methods, statistical models, and business models to provide insight into structured and unstructured data. - Quickly learn and pilot the use of tools, data sources, and analytical techniques to answer a wide range of critical business questions and improve the status quo. - Identify research articles and apply innovative methodology to Novartis business problems. - Provide understandable and actionable business intelligence for key stakeholders. - Demonstrate practical knowledge of techniques in one or more areas of data sciences. - Help develop new quantitative methods to improve processes in various projects and integrate existing and new data sources for new analysis opportunities. - Support various projects of limited scope. - Report technical complaints, adverse events, or special case scenarios related to Novartis products within 24 hours of receipt. - Distribute marketing samples where applicable. - Ensure a healthy and safe workplace by complying with Novartis HSE and ISEC standards, implementing measures, providing training and resources, supporting employee well-being, investigating incidents, and collaborating with HSE teams to maintain a safe environment while adhering to quality, ethical, health, safety, and environmental requirements. Qualification Required:

• Work experience: 2+ years of relevant experience in Data Science. - Skills: Artifical Intelligence (AI), Biostatistics, Data governance, Data literacy, Data science, Data Visualization, Graph algorithms, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, NLP (Neuro-Linguistic Programming) and GenAI, Pandas (Python), Python (Programming Language), R (Programming Language), SQL (Structured Query Language), Time Series Analysis, Data quality, Learning Agility, Curiosity, Statistical Analysis. - Language: English. Note: The desired skills include Artifical Intelligence (AI), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Graph Algorithms, Learning Agility, Logistic Regression Model, Machine Learning (ML), Machine Learning Algorithms, NLP (NeuroLinguistic Programming) and GenAI, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Statistical Analysis, Time Series Analysis. Role Overview: You will be responsible for understanding business problems, supporting an integrated analytical approach, and leveraging data sources, statistical methods, and machine learning algorithms to contribute to solving unmet medical needs. Your role involves discovering actionable insights, automating processes to reduce effort and time, and providing data science and quantitative analytical support. Additionally, you will be instrumental in building capabilities to leverage the Science of data. Key Responsibilities: