S&C Global Network - AI - Life Sciences -Data Science Consultant

Accenture seeks a Data Science Consultant for healthcare and life sciences analytics. The full-time role is listed in Gurugram, with the job description naming Bangalore/Gurgaon as its locations. The posting specifies 5–10 years of experience and a Team Lead/Consultant management level.

Responsibilities

• Advise global clients using data-driven recommendations, manage client communications, and deliver consulting projects independently or with small to medium-sized teams.
• Design and implement GenAI, retrieval-augmented generation (RAG), agentic AI, and traditional AI/ML solutions for healthcare and life sciences challenges. Apply knowledge of life sciences datasets to develop analytics solutions, working across data engineering, data science, and business intelligence.
• Contribute to strategy, implementation, process design, change management, operating models, proposals, and business development. Assess implementation readiness, engage stakeholders, present findings, and develop methodologies, research, and points of view.

Required qualifications and experience:

• A bachelor’s or master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or another quantitative field. The posting also specifies 4+ years delivering Life Sciences, Pharma, or Healthcare projects.
• Experience creating and deploying GenAI and agentic AI solutions; knowledge of commercial, clinical, real-world evidence (RWE), and electronic medical record (EMR) data; and hands-on exposure to datasets such as Komodo, RAVE, IQVIA, Truven, or Optum.
• Experience building and deploying statistical and machine learning models, including segmentation, predictive modeling, hypothesis testing, multivariate analysis, time series techniques, and optimization. Proficiency in Python and SQL, experience with large datasets, and experience using AWS, Azure, or Google Cloud to deploy and scale language models. The listed must-have skills also include RAG and visualization with Power BI or Tableau.
• Strong analytical, problem-solving, writing, communication, presentation, and stakeholder-management skills; proficiency with Excel, Word, and PowerPoint.

Additional listed skills include R, Spark, Databricks, design thinking, and business process optimization. The posting also describes experience with QlikView or Spotfire as beneficial. It highlights work with global pharmaceutical clients and personalized training opportunities.