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

Accenture seeks a full-time Data Science Consultant for its AI and life sciences consulting work in Bangalore/Gurgaon. The posting lists 5–10 years of experience. The role develops data-driven recommendations and analytics solutions for healthcare, pharmaceutical and life sciences clients, combining consulting delivery with hands-on AI and statistical modeling.

Responsibilities

• Design and implement GenAI, retrieval-augmented generation (RAG), agentic AI and traditional AI/ML solutions for business challenges. Use life sciences data and domain knowledge to develop robust analytics solutions.
• Deliver consulting projects for global clients, either independently or in a small to medium-sized team. Work may span strategy, implementation, process design and change management; communicate objectives and progress directly to clients.
• Collaborate across data engineering, data science and business intelligence; present findings and recommendations to stakeholders. Apply design thinking and business process optimization to improve outcomes.
• Develop methodologies, research, points of view or white papers; support proposals and business development. Assess operating models and implementation readiness, help execute change plans, and present domain-specific work to clients.

Qualifications and skills:

• 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 requires 4+ years delivering life sciences, pharma or healthcare projects, alongside a track record of creating and deploying GenAI and agentic AI solutions.
• Knowledge of commercial, clinical, real-world evidence (RWE) and electronic medical record (EMR) data; hands-on experience with relevant data, such as R&D clinical or digital marketing data, and datasets including Komodo, RAVE, IQVIA, Truven and Optum.
• Hands-on statistical and machine-learning model development and deployment, including segmentation, predictive modeling, hypothesis testing, multivariate analysis, time series techniques and optimization. Proficiency in Python and SQL, experience with large datasets and databases, and experience using AWS, Azure or Google Cloud to deploy and scale language models.
• Strong analytical, problem-solving, writing, communication and presentation skills. The posting lists R, Spark, Databricks, design thinking, business process optimization and stakeholder management as good-to-have skills; experience with visualization tools such as Tableau, Power BI, QlikView or Spotfire is also desirable. It also calls for proficiency in Excel, Word and PowerPoint.

The posting highlights work with global pharma clients, personalized training, and career growth and leadership exposure.