Specialist Data Science & AI

- Understands business problems, supports an integrated analytical approach to mine data sources, manage data effectively, employ statistical methods and machine learning algorithms to contribute to solving unmet medical needs, discover actionable insights, and automate processes for reducing effort and time for repeated use. -Provide data science and quantitative analytical support by ensuring the timely delivery of high-quality reports. -Build capabilities to leverage the Science of data.Major accountabilities: Under guidance of their supervisors and team members and gradually more independently 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, providing insight into structured and unstructured data. Quickly learns and pilots the use of tools, data sources and analytical techniques needed to answer wide range of critical business questions and to improve status quo Identifies research articles and reproduce /apply innovative methodology to Novartis business problems Provide understandable and actionable business intelligence for key stakeholders. Brings understanding of one or more areas of data sciences and is able to demonstrate practical knowledge of techniques Helps 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 Support various projects, of limited scope. Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receiptDistribution of 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 requirementsKey performance indicators: Successful implementation based on KPI’s and data management, advanced analytics program objectivesMinimum Requirement: Work experience: 2+ years of relevant experience in Data ScienceSkills: Artifical Intelligence (AI)BiostatisticsData governanceData literacyData scienceData VisualizationGraph algorithmsLogistic Regression ModelMachine Learning (ML)Machine Learning AlgorithmsNLP (Neuro-Linguistic Programming) and GenAIPandas (python)Python (Programming Language)R (Programming Language)SQL (Structured Query Language)Time Series AnalysisData qualityLearning AgilityCuriosityStatistical Analysis Language: English