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

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 everything"from 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.

Qualifications

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.

Who are we looking for?

Bachelors or Masters 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 ones 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