Job Description
Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant
Management Level: 9-Team Lead/Consultant
Location: Bangalore/Gurgaon
Must-have skills: GenAI, RAG, Agentic AI, Python, SQL, AI/ML, Visualization (Power BI or Tableau)
Good to have skills: R, Spark, data bricks, Ability to leverage design thinking, business process optimization, and stakeholder management skills.
Job Summary:
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
Roles & Responsibilities:
-
Deliver strategic advice to clients by providing data-driven recommendations that enhance business outcomes.
-
Independently manage communications with clients, ensuring clear understanding of project objectives and progress updates.
-
Design and implement GenAI, RAG, Agentic AI, or traditional AI/ML algorithms tailored to address specific business challenges within the healthcare and life sciences sector.
-
Demonstrate knowledge of life sciences datasets and maintain strong domain expertise to drive the development of robust analytics solutions.
-
Support the delivery of consulting projects for global clients, working as part of a small to medium-sized team or as an individual contributor as required.
-
Collaborate with cross-functional teams, leveraging skills in data engineering, data science, and business intelligence tools such as Power BI or Tableau.
-
Apply design thinking principles and business process optimization to recommend and implement innovative, value-driven solutions.
-
Engage in ongoing learning to develop consulting acumen, industry knowledge, and technical capabilities.
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.
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
-
Provide Subject matter expertise in various sub-segments of the LS industry.
-
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.
-
Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables.
-
Execute a transformational change plan aligned with the client’s business strategy and context for change. Engage stakeholders in the change journey and build commitment to change.
-
Make presentations wherever required to a known audience or client on functional aspects of his or her domain.
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.
-
Extensive GenAI expertise with a track record of creating and deploying GenAI and Agentic AI solutions.
-
Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.
-
Excellent 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 with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc.
-
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.
-
Proficiency in Programming languages such as 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
Professional & Technical Skills:
- Relevant experience in the required domain.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, dynamic environment.
Additional Information:
- Opportunity to work on innovative projects.
- Career growth and leadership exposure.
About Our Company | Accenture
Job Qualifications
Experience: 4-8 Years
Educational Qualification: Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.