Accenture

Job Title - S&amp;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 &amp; Responsibilities:
<ul>
<li>Deliver strategic advice to clients by providing data-driven recommendations that enhance business outcomes.</li>
<li>Independently manage communications with clients, ensuring clear understanding of project objectives and progress updates.</li>
<li>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.</li>
<li>Demonstrate knowledge of life sciences datasets and maintain strong domain expertise to drive the development of robust analytics solutions.</li>
<li>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.</li>
<li>Collaborate with cross-functional teams, leveraging skills in data engineering, data science, and business intelligence tools such as Power BI or Tableau.</li>
<li>Apply design thinking principles and business process optimization to recommend and implement innovative, value-driven solutions.</li>
<li>Engage in ongoing learning to develop consulting acumen, industry knowledge, and technical capabilities.</li>
</ul>
WHAT’S IN IT FOR YOU?
<ul>
<li>An opportunity to work on high-visibility projects with top Pharma clients around the globe.</li>
<li>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.</li>
<li>Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional.</li>
<li>Personalized training modules to develop your strategy &amp; consulting acumen to grow your skills, industry knowledge, and capabilities.</li>
<li>Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization.</li>
</ul>
What you would do in this role
<ul>
<li>Support delivery of small to medium-sized teams to deliver consulting projects for global clients.</li>
<li>Responsibilities may include strategy, implementation, process design, and change management for specific modules.</li>
<li>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</li>
<li>Provide Subject matter expertise in various sub-segments of the LS industry.</li>
<li>Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community.</li>
<li>Acquire new skills that have utility across industry groups.</li>
<li>Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact.</li>
<li>Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables.</li>
<li>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.</li>
<li>Make presentations wherever required to a known audience or client on functional aspects of his or her domain.</li>
</ul>
Who are we looking for?
<ul>
<li>Bachelor’s or Master’s degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.</li>
<li>Extensive GenAI expertise with a track record of creating and deploying GenAI and Agentic AI solutions.</li>
<li>Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes.</li>
<li>Excellent understanding of Pharma data sets – commercial, clinical, RWE (Real World Evidence) &amp; EMR (Electronic medical records)</li>
<li>Leverage one’s hands on experience of working across one or more of these areas such as real-world evidence data, R&amp;D clinical data, digital marketing data.</li>
<li>Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc.</li>
<li>Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation &amp; predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.</li>
<li>Proficiency in Programming languages such as Python, SQL, Spark, etc.</li>
<li>Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL.</li>
<li>Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.</li>
<li>Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have.</li>
<li>Excellent analytical and problem-solving skills, with a data-driven mindset.</li>
<li>Proficient in Excel, MS Word, PowerPoint, etc.</li>
<li>Ability to solve complex business problems and deliver client delight.</li>
<li>Strong writing skills to build points of view on current industry trends.</li>
<li>Good communication, interpersonal, and presentation skills</li>
</ul>
Professional &amp; Technical Skills:
<ul>
<li>Relevant experience in the required domain.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work in a fast-paced, dynamic environment.</li>
</ul>
Additional Information:
<ul>
<li>Opportunity to work on innovative projects.</li>
<li>Career growth and leadership exposure.</li>
</ul>
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.

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

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

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