Novartis is hiring a Specialist, Data Science & Artificial Intelligence for its Hyderabad office. This is an exciting opportunity for early-career professionals interested in applying data science, artificial intelligence, machine learning, Python, statistical modeling and engineering principles to pharmaceutical formulation and process development.
The Novartis Data Science & AI Specialist job in Hyderabad focuses on turning complex formulation and manufacturing questions into quantitative models and data-driven solutions. The selected candidate will work on predictive modeling, Design of Experiments (DoE), machine learning, process modeling, data visualization, automation and AI-assisted scientific workflows.
Candidates with a Master’s degree or PhD in relevant engineering, mathematical, statistical or data science disciplines can review the eligibility criteria and apply before 30 September 2026.
Job Overview
| Particular | Details |
|---|---|
| Company | Novartis |
| Position | Specialist, Data Science & Artificial Intelligence |
| Location | Hyderabad |
| Qualification | Master’s Degree or PhD |
| Experience | 2–4 years after Master’s / 0–4 years after PhD |
| Employment | Full-Time |
| Requisition ID | REQ-10087078 |
| Application Deadline | 30 September 2026 |
| Core Areas | Data Science, AI, ML, Python, Statistics, Modeling |
Key Responsibilities
As a Data Science & Artificial Intelligence Specialist at Novartis, the selected candidate will combine scientific understanding, engineering principles and computational techniques to solve pharmaceutical development and manufacturing problems.
Key responsibilities include:
- Develop and apply mechanistic, empirical, statistical and hybrid modeling approaches for drug product formulation and process development.
- Support process understanding, scale-up and manufacturing-related scientific questions.
- Translate formulation and process challenges into model-ready and data-ready problem statements.
- Define modeling success criteria, assumptions and uncertainty considerations in collaboration with subject-matter experts.
- Apply statistics, Design of Experiments (DoE), multivariate analysis and data-driven modeling to experimental planning and analysis.
- Build predictive models and decision-support tools for pharmaceutical drug product unit operations.
- Support modeling activities related to oral solid dosage forms, powder technology, formulation and process engineering.
- Develop end-to-end data science solutions covering data preparation, exploratory analysis, modeling, validation, deployment and lifecycle management.
- Ensure analytical and modeling workflows remain transparent and reproducible.
- Create visualizations, dashboards and technical narratives to communicate scientific insights.
- Contribute to automation and AI-assisted workflows for data preparation, modeling, analysis and reporting.
- Develop reusable modeling and AI assets while contributing to documentation, knowledge sharing and internal standards.
Educational Qualification
Novartis is looking for candidates with a Master’s degree or PhD in one of the following or a closely related quantitative engineering discipline:
- Mechanical Engineering
- Process Engineering
- Chemical Engineering
- Pharmaceutical Engineering
- Materials Science
- Applied Mathematics
- Statistics
- Data Science
- Closely related quantitative engineering disciplines
Candidates should carefully note that the vacancy specifically requests a Master’s degree or PhD rather than a general bachelor’s-level qualification.
Experience Required
Novartis describes this as an early-career profile.
Typical experience requirements are:
After Master’s Degree: 2–4 years of relevant industry experience
After PhD: 0–4 years of relevant experience
This means PhD candidates with 0 years of post-PhD experience may be eligible, subject to meeting the remaining requirements.
The supplied job description does not indicate that fresh Master’s graduates with zero experience are the preferred profile.
Essential Skills
Candidates applying for the Novartis Data Science & AI Specialist position should have a strong combination of engineering, mathematical and computational skills.
Key requirements include:
- Python programming or similar programming experience
- Machine Learning
- Statistical analysis
- Design of Experiments
- Data analysis
- Simulation
- Optimization
- Mechanistic modeling
- Numerical methods
- Process science
- Data cleaning and exploratory analysis
- Experimental and industrial data analysis
- Uncertainty-aware interpretation
- Model credibility assessment
- Data visualization
- Scientific communication
Candidates should also be able to communicate sophisticated technical concepts to non-technical stakeholders and use their analysis to influence decision-making.
Desirable Pharmaceutical & Modeling Skills
Additional experience or academic exposure in the following areas can strengthen a candidate’s profile:
- Powder technology
- Formulation science
- Oral solid dosage forms
- Pharmaceutical unit operations
- Process modeling
- Population Balance Models (PBM)
- Discrete Element Method (DEM)
- gPROMS
- Digital twins
- Quality by Design (QbD)
- Process Analytical Technology (PAT)
- Regulatory-relevant modeling
- Global matrix organizations
These skills are particularly relevant because this Novartis data science job applies AI and quantitative modeling directly to pharmaceutical development and manufacturing challenges.
Additional Desired Skills
Novartis also lists the following skills:
Biostatistics | Data Governance | Data Literacy | Data Quality | Data Science | Data Visualization | Graph Algorithms | Machine Learning | Python | Statistical Analysis | Time Series Analysis | Learning Agility | Curious Mindset
Why Consider This Novartis Data Science Role?
This opportunity combines pharmaceutical science with data science and artificial intelligence, making it particularly relevant for professionals who want to apply computational approaches to real-world drug development problems.
The position offers exposure to areas such as:
- Pharmaceutical R&D and process development
- Applied machine learning
- Mechanistic and statistical modeling
- AI-assisted scientific workflows
- Predictive modeling
- Pharmaceutical manufacturing data
- Digital twins and advanced process modeling
- Global modeling and digital communities
- Regulatory-relevant model credibility
The supplied job description does not specify a detailed benefits package, so candidates should confirm compensation and employee benefits directly with Novartis during the recruitment process.
Salary
Novartis has not disclosed the salary for REQ-10087078 in the information provided.
For structured-data purposes, a broad estimated market range for a specialized Data Science/AI professional with the stated experience in Hyderabad could be approximately ₹12,00,000–₹24,00,000 per year, depending on qualifications, experience and technical expertise.
This is an indicative market estimate only and is not an official Novartis salary range.
How to Apply
