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

Accenture seeks a Life Sciences Data Science Consultant for healthcare and pharmaceutical consulting projects. The full-time position lists 5–10 years of experience and a location of Bangalore/Gurgaon; the job header also identifies Gurugram.

Responsibilities

• Advise clients using data-driven recommendations, manage client communications, and deliver analytics solutions addressing healthcare and life sciences business challenges.
• Design and implement generative AI, retrieval-augmented generation (RAG), agentic AI, and traditional AI/machine learning algorithms. Work with life sciences datasets and collaborate across data science, data engineering, and business intelligence.
• Contribute individually or within small to medium-sized teams to global consulting engagements covering strategy, implementation, process design, and change management. Develop methodologies, research, points of view, and presentations; support proposals and business development.
• Apply design thinking and business process optimization, assess implementation readiness, and engage stakeholders in transformation plans.

Qualifications and tools:

• Bachelor’s or master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or another quantitative field. The posting specifies 4+ years delivering Life Sciences, Pharma, or Healthcare projects, alongside its overall 5–10-year experience range.
• Extensive experience creating and deploying generative AI and agentic AI solutions. Understand commercial, clinical, real-world evidence, and electronic medical record datasets, with hands-on exposure to sources 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. Use Python and SQL, work with large datasets, communicate findings, and have experience with AWS, Azure, or Google Cloud for deploying and scaling language models.
• Must-have skills listed include GenAI, RAG, agentic AI, Python, SQL, AI/ML, and Power BI or Tableau. The posting lists R, Spark, Databricks, design thinking, business process optimization, and stakeholder management as good to have; it also mentions QlikView and Spotfire as optional visualization tools. Strong analytical, writing, communication, presentation, and problem-solving skills are sought.

The role offers work on global pharmaceutical client projects, collaboration with strategy and industry specialists, personalized training, and leadership exposure.