S&C GN - Data&AI - Life Sciences - Analyst

Accenture in India

Bengaluru

On-site

INR 1,500,000 - 2,800,000

Full time

6 hours ago
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Job summary

Accenture in India seeks an AI Decision Science Consultant with a focus on management level pharma engagements. The role centers on leveraging pharma data sets, real-world evidence and ML-driven insights to advise top clients.

You will work on global pharma programs, driving strategic transformations and delivering data-driven recommendations. Responsibilities include leading high-visibility projects, building models, and contributing to strategy, design and change initiatives.

Qualifications

  • Experience with pharma data sets across commercial and clinical domains.
  • Hands-on exposure to real-world evidence data and ML techniques.
  • Strong skills in hypothesis testing and multivariate analysis.
  • Proficiency in time series methods and optimization concepts.

Responsibilities

  • Drive strategic initiatives for pharma clients on high-visibility projects.
  • Develop data-driven recommendations to enhance business performance.
  • Provide subject-matter expertise across LS (life sciences) sub-segments.
  • Support delivery of small to medium teams on consulting projects.
  • Contribute to strategy, process design and change management.
  • Collaborate across data engineering and data science work streams.
  • Create assets, POVs and white papers for the team and community.
  • Learn new skills applicable across industry groups.

Skills

Pharma data knowledge
Real-world evidence data
Statistical models / ML
Hypothesis testing
Time series techniques
Optimization

Tools

R
Python
SQL
Spark
AWS
Azure
Google Cloud

Job description

Management Level: Ind&Func AI Decision Science Consultant

Job Location: Bangalore / Gurgaon

Must-have Skills: Excellent understanding of Pharma data sets – commercial, clinical, Leverage one’s hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.

Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI.

Job Summary

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

Key Responsibilities
  • An opportunity to work on high-visibility projects with top Pharma clients around the globe.
  • Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities.
  • Provide Subject matter expertise in various sub-segments of the LS industry.
  • Support delivery of small to medium-sized teams to deliver consulting projects for global clients.
  • Responsibilities may include strategy, implementation, process design, and change management for specific modules.
  • Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science
  • Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.
  • Acquire new skills that have utility across industry groups.
  • Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact.
Additional Information
  • Proficient in Excel, MS Word, PowerPoint, etc.
  • Ability to solve complex business problems and deliver client delight.
  • Strong writing skills to build points of view on current industry trends.
  • Good communication, interpersonal, and presentation skills
  • About Our Company | Accenture (do not remove the hyperlink)
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