Novartis is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist

Company:

• Novartis Healthcare Private Limited

Location:

• Hyderabad, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• REQ-10030031

Years of experience:

• 0–3 years

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Company Description

• Novartis is one of the world’s leading healthcare companies, dedicated to reimagining medicine to improve and extend people’s lives.

• The organization focuses on creating innovative solutions that address some of the most challenging health conditions, with an emphasis on scientific excellence and advanced technology.

• It operates in more than 150 countries, with a workforce committed to transforming patient care and access to healthcare solutions.

• In India, Novartis Healthcare Private Limited supports global operations, contributing to research, development, analytics, and digital transformation across various therapeutic areas.

• The company fosters an inclusive, collaborative culture that encourages innovation, teamwork, and professional growth.

• Employees benefit from exposure to global projects, advanced technologies, and opportunities to make a direct impact on patients’ lives.

• Beyond scientific expertise, Novartis emphasizes ethical practices, continuous learning, and a shared vision of a healthier world.

• The company invests significantly in data science and digital transformation, enabling its teams to leverage AI, ML, and analytics for better decision-making.

• With a focus on sustainability and innovation, Novartis aims to create a future where healthcare outcomes are improved through data-driven insights.

• Joining Novartis means becoming part of a global community that values collaboration, creativity, and a passion for advancing human health.

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Profile Overview

• The Data Scientist at Novartis will work within the Technology Transformation division, supporting the development and deployment of AI and analytics-based solutions.

• The role involves developing scalable models that enhance decision-making and contribute to improving healthcare delivery.

• The individual will collaborate across multidisciplinary teams to solve high-impact problems in research, development, and patient outcomes.

• A strong focus will be placed on advanced techniques such as machine learning, NLP, and generative AI to interpret data and extract meaningful insights.

• This role will contribute to creating predictive systems, building data pipelines, and generating insights from complex, high-volume datasets.

• The successful candidate will be responsible for bridging the gap between data analysis and actionable business solutions.

• By leveraging AI technologies like graph neural networks and topic modeling, the Data Scientist will uncover hidden patterns within diverse datasets.

• The position also requires designing experiments that validate hypotheses and influence strategic decision-making.

• Candidates should demonstrate an aptitude for problem-solving, curiosity, and adaptability to new tools and research advancements.

• The opportunity offers exposure to global operations and the chance to work alongside world-class data experts within a mission-driven healthcare organization.

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Key Responsibilities

• Develop and deploy machine learning models to address real-world business challenges in healthcare and research.

• Apply NLP to analyze unstructured text data, such as clinical reports, publications, and feedback datasets.

• Build and optimize graph neural networks to uncover complex relationships in large-scale structured data.

• Perform topic modeling to identify recurring themes and extract meaningful insights from large document collections.

• Design, execute, and evaluate experiments to test data-driven hypotheses and optimize business outcomes.

• Partner with domain experts, engineers, and stakeholders to define analytical requirements and deliver impactful solutions.

• Present analytical findings in an understandable manner to both technical and non-technical audiences.

• Document and maintain project workflows, ensuring reproducibility and data integrity.

• Stay current with new research in AI, data science, and computational modeling to continuously improve methods and outcomes.

• Support the integration of AI tools into Novartis’s digital infrastructure to drive innovation across multiple business units.

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Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a closely related discipline.

• Proficiency in Python, R, or similar programming languages for model development and data analysis.

• Familiarity with machine learning techniques, including supervised, unsupervised, and reinforcement learning.

• Exposure to NLP, generative AI, and related frameworks such as PyTorch, TensorFlow, or Hugging Face.

• Understanding of graph neural networks, embeddings, and representation learning.

• Hands-on knowledge of data visualization tools like Power BI, Tableau, or matplotlib for analytical storytelling.

• Strong analytical and mathematical reasoning skills, with the ability to interpret results effectively.

• Excellent communication skills, with a talent for explaining complex concepts in simple terms.

• Ability to work collaboratively in cross-functional teams while maintaining high attention to detail.

• Enthusiasm for exploring data to uncover trends and actionable insights that can inform strategic decisions.

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Preferred Qualifications and Skills

• Master’s or Ph.D. in Data Science, Computer Science, or a related quantitative field.

• Previous exposure to experimental design, hypothesis testing, and statistical modeling.

• Experience using cloud-based platforms such as AWS, Azure, or Google Cloud for model deployment.

• Ability to manage multiple projects efficiently and deliver results within defined timelines.

• Strong organizational and time-management skills with a proactive work approach.

• Commitment to continuous learning, adaptability to emerging technologies, and enthusiasm for research-driven environments.

• Familiarity with software engineering practices such as version control, CI/CD, and containerization (Git, Docker).

• Understanding of healthcare data, real-world evidence, and the ethical handling of sensitive information.

• A genuine interest in using AI and data science to improve medical research, treatment outcomes, and patient safety.

• Strong team player capable of contributing to both research-driven and operational initiatives.

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Additional Information

• Division: Development

• Business Unit: Universal Hierarchy Node

• Functional Area: Technology Transformation

• Employment Type: Regular

• Site Location: Hyderabad, India

• Shift Work: No

• The selected candidate will join a growing analytics team driving innovation across the development and transformation units at Novartis.

• The position provides a platform to explore large healthcare datasets, work with international teams, and apply AI models for business insights.

• Novartis offers a range of learning and development programs to help employees advance their technical and leadership skills.

• The company culture promotes collaboration, respect, and diversity, ensuring every voice contributes to meaningful scientific progress.

• Employees can expect support in balancing personal and professional goals through flexible policies, mentorship, and wellness initiatives.

• By joining this role, individuals will have the opportunity to shape the future of healthcare innovation through data and AI.

• The company provides access to cutting-edge tools and a supportive environment that encourages experimentation and growth.

• This role is suited for individuals eager to learn, contribute, and evolve in the fast-changing landscape of data science in healthcare.

• Novartis continues to attract top talent by providing competitive benefits, opportunities for advancement, and a strong mission-driven purpose.

Please click here to apply.