Decision Science/ Data Analytics

Sdna Global; Gurugram District, Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Benefits offered by this job

High-visibility pharma projects

Co-create with leaders in strategy & B

Personalized training modules

Boundaryless collaboration

Job summary

Sdna Global in India seeks a data consulting professional to deliver data-driven strategic advice for Pharma and Healthcare clients. You will design and implement GenAI, RAG, or traditional AI/ML solutions tailored to business challenges, building strong domain expertise in life sciences datasets.

You will collaborate with cross-functional teams, manage client communications, and contribute to the development of analytics assets and methodologies, driving value across projects globally.

Qualifications

• Bachelor’s or Master’s in a quantitative field.
• Extensive GenAI expertise with deployed GenAI/Agentic AI solutions.
• 4+ years in Life Sciences/Pharma/Healthcare.
• Strong pharma data knowledge: commercial, clinical, RWE, EMR.
• Hands-on with real-world data sources (RWE, R&D, marketing).
• Proficient in Python, SQL, Spark; BI tools like Power BI/Tableau.
• Ability to work with large datasets and present insights.
• Experience with cloud platforms (AWS/Azure/GCP).

Responsibilities

• Support delivery of consulting projects for global clients.
• Lead strategy, implementation, process design, and change management for modules.
• Work as part of the team or individually on data engineering to data science tasks.
• Provide subject matter expertise in LS industry sub-segments.
• Develop assets, methodologies, and white papers for the team.
• Acquire new skills with utility across industry groups.
• Support strategies and operating models; assess readiness and impact.
• Co-lead proposals and coordinate with colleagues to create consensus deliverables.
• Execute transformational change plans aligned with client strategy.

Skills

GenAI

Life Sciences

Pharma

Data Science

Python

SQL

Spark

Power BI

Tableau

AWS

Azure

GCP

Communication

Education

Bachelor’s or Master’s in Quantitative field

Tools

Tableau

Power BI

Job description

Role & 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 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