S&C GN - Data&AI - Life Sciences - Consultant

Job Title: S&C GN - Data&AI - Life Sciences - Consultant Company: Archer Job Category: Data Science Roles & Responsibilities: Archer is collaborating with Accenture to connect them with exceptional professionals for this role.* Management Level: Ind\&Func AI Decision Science Consultant Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value\-driven solutions. Provide strategic advisory services, conduct market research, and develop data\-driven recommendations to enhance business performance. Key Responsibilities * An opportunity to work on high\-visibility projects with top Pharma clients around the globe. * Personalized training modules to develop your strategy \& consulting acumen to grow your skills, industry knowledge, and capabilities. * Provide Subject matter expertise in various sub\-segments of the LS industry. * Support delivery of small to medium\-sized teams to deliver consulting projects for global clients. * Responsibilities may include strategy, implementation, process design, and change management for specific modules. * Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science * Develop assets and methodologies, point\-of\-view, research, or white papers for use by the team and the larger community. * Acquire new skills that have utility across industry groups. * Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Work Location: Gurugram, Haryana, India Availability: Full time

Must\-have Skills: Excellent understanding of Pharma data sets – commercial, clinical, Leverage one’s hands on experience of working across one or more of these areas such as real\-world evidence data, Statistical Models/Machine Learning including Segmentation \& predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Experience: Proven experience (4\+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Key Skills: Data Science Salary: Not disclosed