Decision Science/ Data Analytics

Role & responsibilities

• eliver 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 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.

Preferred candidate profile