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.

WHATS 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

- 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 clients 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 :

- Bachelors or Masters 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 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 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 : Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

I have been with Accenture for more than five years and I like the diversified role that I play. By offering diversified roles, which gave me the opportunity to learn different processes other than my forte is the way Accenture groomed me into becoming a leader. I believe being a woman in this industry, one can contribute in creating a positive work environment and my one advice to all women consi...