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

About The Role

About The Role

Job Title - SC 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.

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, RD 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.

Qualification
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.