JobMatchApply
Back to results

Intern - I&A

Novartis · Hyderabad (Office)

On-site / hybridOther 1 day ago

Is it worth applying?

AI checks visa and location, seniority and red flags, not just keywords.

??/100
Sign in to score

AI scoring needs a free account: you get 3 free AI scores after signing in.

About the job

Skills mentioned in this posting (5)

AIMachine LearningAutomationAnalyticsKPIs

Sign in and add your skills to see which ones you're missing.

Job Description Summary The position will play a pivotal role in transforming data into high-quality, actionable insights that influence strategic business decisions at a global scale. This role offers a unique opportunity to work directly with cross-functional global stakeholders, contribute to key business deliverables, and apply advanced analytics and modelling in real-world healthcare challenges. Expect to be part of a fast-paced, innovative environment with freedom to experiment, learn, and grow. Job Description - Be 100% hands-on  in delivering high-impact analytics and insights across core business areas—including  monthly business reviews ,  decision boards, KPI performance assessment, impact measurement using advanced analytics and daily ad hoc analyses that drive global decisions.  - Collaborate directly with  global stakeholders , especially with teams based in the  US , gaining real-world exposure to the  US pharma market, patient behavior analytics, and commercial strategy   - Work on  advanced analytics and modelling techniques , including  predictive models, optimization frameworks , and  AI/ML-driven solutions  to support strategic brand, access, and patient support decisions  - Dive deep into  patient-level analytical ready datasets (ARDs)  and base tables to uncover trends, answer complex business questions, and deliver  end-to-end insight storytelling —from data to decision  - Connect with a  high - impact peer group  with backgrounds from  IITs, ISB, IIMs, BITS, NITs, and top global schools —and work in a culture that emphasizes peer learning, mentorship, and continuous upskilling  - Innovate through the  freedom to ideate  and experiment with new approaches and tools - whether building scalable dashboards, designing causal inference models, or enhancing automation for enterprise analytics  - Build with scalability in mind by following  enterprise standards for documentation, coding practices, and business rules , contributing to a growing ecosystem of re-usable analytics assets  - Regularly interact with senior stakeholders to  present findings , discuss trade-offs, and refine hypotheses—gaining visibility and building communication skills early in your career  - Embrace a  fast-paced, hybrid, and unbossed work environment  where curiosity, self-leadership, and collaboration are valued as much as technical skills.  Skills Desired