S&C Global Network – AI – Healthcare Analytics – Consultant Management – AI Healthcare Analytics

Job Description

S&C Global Network – AI – Life Sciences – Data Science Consultant | Accenture

The Tone:
This is a full-time consulting role at Accenture, located in Bangalore or Gurgaon. Accenture helps global businesses, governments, and organizations build their digital core, optimize operations, and accelerate growth by creating tangible value. This role is crucial for delivering strategic initiatives and managing business transformations for top Pharma clients worldwide, leveraging expertise in AI and data science within the life sciences sector. It provides an opportunity to shape innovative solutions using emerging technologies and contribute to responsible business practices.

The TL;DR
• Role: Full Time
• Type: Full-time
• Location: In-person, Bangalore/Gurgaon

• Mission: Drive strategic initiatives and manage business transformations using industry expertise to create value-driven solutions.
• Tech Stack: R, Python, SQL, Spark, Tableau, Power BI, Qlikview, Spotfire, AWS, Azure, Google Cloud, Komodo, RAVE, IQVIA, Truven, Optum

What You’ll Actually Do
• Advise: Provide strategic advisory services and develop data-driven recommendations to enhance client business performance.
• Deliver: Lead or contribute to the delivery of consulting projects for global clients, encompassing strategy, implementation, process design, and change management.
• Execute: Work on assigned projects as an individual contributor or team member, utilizing skills across data engineering to data science.
• Develop: Create assets, methodologies, points of view, research, or white papers for use by the team and the broader professional community.
• Support: Contribute to strategies and operating models for specific business units, assessing competitive responses and implementation readiness.

The Must-Haves
• Background: Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or another Quantitative field, with proven experience (4+ years) in Life Sciences/Pharma/Healthcare projects.
• Experience: 4-8 years of experience, including an excellent understanding of Pharma data sets (commercial, clinical, RWE, EMR) and hands-on experience with real-world evidence data, R&D clinical data, or digital marketing data, and datasets like Komodo, RAVE, IQVIA, Truven, Optum.
• Skills: Proficiency in programming languages such as R, Python, SQL, and Spark; hands-on experience building and deploying statistical models/machine learning (segmentation, predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, optimization); expertise in handling large datasets and performing data management using SQL databases; excellent analytical and problem-solving skills.
• Bonus: Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling models; experience with data visualization tools like Tableau, Power BI, Qlikview, or Spotfire; ability to leverage design thinking, business process optimization, and stakeholder management skills; strong writing skills to build points of view on industry trends; good communication, interpersonal, and presentation skills.