Data Analyst

Analyst- Data Science

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

• Deliver predictive and classification models using machine learning and statistical algorithms as an individual contributor for various projects related to commercial pharma, in close collaboration with senior associates in the team.

• Analyze large datasets from various sources (Claims, Sales, Promotions, etc.) to uncover insights and drive decision-making processes

• Bring in operational efficiencies in the existing processes by closely working with senior associates in the team.

• Deliver through a structured project management approach with appropriate documentation and communication throughout the project delivery cycle.

• Support the creation and maintenance of standard operating procedures and quality checklists to ensure excellent quality outputs within the function.

• Deliver projects and manage internal customer expectations across multi-channel marketing analytics, targeting and segmentation, predictive analytics, resource allocation and optimization, and ad-hoc requests.

• Support the exploration and integration of cutting-edge AI technologies, particularly in the field of generative AI and LLM technologies.

Essential Requirements

• 1–2 years of experience in data science, preferably in pharmaceutical or healthcare sectors
• Strong foundation in statistics, predictive analytics, machine learning, and deep learning
• Proficiency in Python, R, and PySpark for data analysis and modeling
• Proven problem-solving skills with a creative approach to complex challenges
• Ability to collaborate effectively across time zones and diverse teams
• Excellent verbal and written communication for stakeholder engagement
• Bachelor’s degree in a relevant field; Master of Science or MBA strongly preferred
• Demonstrated ability to balance strategic thinking with operational execution

Desirable Requirements

• Experience with AI technologies

Skills Desired

Bayesian Statistics, Data Science, gbm, Generative AI, K-Means Clustering, Machine Learning Techniques, Predictive Analytics, python, Random Forest, regression, Statistics, Time Series Analysis, xgboost

Experience Level

Mid Level