Analyst- Data Science

IN10 (FCRS = IN010) Novartis Healthcare Private Limited; Hyderabad; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Novartis AG in Hyderabad is seeking a Data Scientist to join the AI and Data Science Operations team. You will build predictive models on claims, sales, and marketing data, and collaborate with stakeholders across regions to translate business problems into analytical solutions.

The role requires 2+ years in data science, strong statistics, Python/R, PySpark, and experience with large datasets. Desirable skills include Generative AI exposure, data governance, and the ability to present insights

Qualifications

• Minimum 2 years of data science experience in pharma, healthcare, or analytics.
• Strong knowledge of statistics, predictive analytics, ML and deep learning algorithms.
• Proficient in Python, R, or PySpark and able to work with large multi-source datasets.

Responsibilities

• Build and deliver predictive, classification, ML, and statistical models for pharma analytics.
• Analyze large datasets from claims, sales, promotions to generate actionable insights.
• Support analytics projects across multi-channel marketing analytics, targeting, and optimization.
• Collaborate with senior associates and stakeholders to translate business problems into analytical solutions.
• Contribute to automation, SOPs, and quality checklists to ensure high-quality delivery.

Skills

Data Science

Python

R

PySpark

SQL

Pandas

Education

Full-time Graduate

Tools

PySpark

Python libraries: Pandas

ML libraries: scikit-learn

Generative AI tools

Job description

Job Description Summary

The AI and Data Science Operations team at BSI Insights supports better decision making at Novartis by using data to generate actionable insights and improve performance. We work with international business units to solve complex problems, develop analytical strategies, apply engineering and machine learning methods, and automate processes for efficiency. Our team values collaboration and continuous learning, partnering closely with stakeholders across diverse regions to ensure our solutions align with specific business needs. Our work not only drives innovation but also empowers teams throughout Novartis to make informed, impactful decisions based on real-world data.

Job Description Key Responsibilities

Build and deliver predictive, classification, machine learning, and statistical models for commercial pharma analytics projects. Analyze large datasets from sources such as claims, sales, promotions, and other commercial data to generate actionable insights. Support analytics projects across multi-channel marketing analytics, targeting and segmentation, predictive analytics, resource allocation, optimization, and ad-hoc business requests. Work closely with senior associates and internal stakeholders to translate business problems into analytical solutions. Support process improvements, automation, documentation, SOPs, and quality checklists to ensure consistent and high-quality delivery. Contribute to the exploration and integration of emerging AI technologies, including Generative AI and LLMs. Manage project delivery with structured communication, documentation, and timely stakeholder updates.

Essential Requirements

Minimum 2 years of experience in data science, preferably within pharmaceutical, healthcare, life sciences, or analytics domains. Strong understanding of statistics, predictive analytics, machine learning, and deep learning algorithms. Hands‑on experience in programming languages such as Python, R, or PySpark. Experience in analyzing large and complex datasets from multiple sources. Strong problem‑solving skills with the ability to develop practical and creative analytical solutions. Good verbal and written communication skills with the ability to present insights and solutions to stakeholders. Ability to work independently as an individual contributor and collaborate effectively across teams and time zones.

Desirable Requirements

Experience working with pharma or healthcare datasets such as claims, sales, promotions, targeting, segmentation, or marketing analytics data. Exposure to commercial pharma analytics, multi‑channel marketing analytics, resource allocation, or optimization projects. Knowledge or hands‑on exposure to Generative AI, LLMs, or emerging AI technologies. Experience in process improvement, automation, SOP creation, quality checks, or project documentation. Relevant certifications in Data Science, Machine Learning, AI, Python, R, PySpark, Cloud Analytics, or Generative AI would be an added advantage.

Education

Any Full‑time Graduate.

Skills Desired

Artificial Intelligence (AI), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro‑Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis

Community & Values

Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives.