Job Title: Analytics and Modeling Consultant – Life Sciences
Experience: 5–10 Years
Location: Bengaluru / Gurgaon
Job Type: Full-time
Company: Accenture
Job No.: R00272747
Job Summary
Join Accenture as a Life Sciences Data & AI Consultant, where you’ll lead strategic initiatives for top global pharma clients. This role involves managing data-driven transformations using real-world evidence, statistical modeling, machine learning, and modern data platforms. You’ll work across functional domains including commercial, clinical, and healthcare analytics, delivering real impact with your data expertise.
Key Responsibilities
Execute high-impact projects with leading pharmaceutical clients globally.
Deliver consulting projects in small to medium-sized teams focused on strategy, implementation, and transformation.
Leverage your subject matter expertise in sub-domains of the Life Sciences (LS) industry.
Work individually or with a team across data engineering, modeling, and analytics.
Create assets, white papers, methodologies, and thought leadership material.
Continuously upgrade industry knowledge and acquire cross-functional skills.
Contribute to strategic assessments, competitive analysis, and operating model enhancements.
Assess business readiness and identify opportunities for transformation.
Solve complex business problems and propose data-backed, actionable insights.
Engage with stakeholders through impactful communication and documentation.
Must-Have Skills
Strong knowledge of pharma datasets: commercial, clinical, and real-world evidence (RWE).
Hands-on expertise in statistical models and machine learning including
Proficiency in Excel, MS PowerPoint, Word, and report generation.
Good-to-Have Skills
Programming experience with:
Python, R, SQL, SparkFamiliarity with visualization tools: Tableau, Power BI.
Understanding of pharma business processes and workflows.
Desired Attributes
Strong problem-solving and consulting mindset.
Excellent communication, client handling, and stakeholder management.
Ability to work across domains, manage multiple projects, and ensure timely delivery.
Willingness to travel if required.
