S&c Global Network - Ai - Life Sciences -data Science Analyst
- Accenture
- 2 - 5 years
- Mumbai
- 2 months ago
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Job Description
Entity:- Accenture Strategy & Consulting
Team:- Global Network Data & AI
Practice:- Life Sciences
Title:- Ind & Func AI Decision Science Consultant
Job Location:- Delhi, Gurgaon, Mumbai, Bangalore
About Strategy & Consulting Global Network:- Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.
WHAT'S IN IT FOR YOU?
- An opportunity to work on high-visibility projects with top Pharma clients around the globe.
- Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies.
- Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional.
- Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities.
- Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.
What you would do in this role
- 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.
- Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc.,
- 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.
- Make presentations wherever required to a known audience or client on functional aspects of his or her domain.
Qualification
Who are we looking for?
- Bachelor's or Master's degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.
- Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.
- Understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records)
- Leverage one's hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data.
- Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.
- Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc.
- Proficiency in Programming languages such as R, Python, SQL, Spark, etc.
- Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL.
- Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.
- Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have.
- Excellent analytical and problem-solving skills, with a data-driven mindset.
- 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time
Contact Details:
Company: AccentureLocation(s): Mumbai
Keyskills: python power bi qlikview r spark data management hypothesis testing Conflict management time series machine learning artificial intelligence sql tableau data science gcp predictive modeling segmentation data visualization aws statistics
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