Data Science -Traditional AI / ML - ManagerHealthcare/Pharma/Lifescien
- Source: Naukri
- PwC
- Hybrid
- Bengaluru
- Full-Time
- Senior
Job Description
Role & responsibilities
Responsibilities
- Leading data science workstreams that apply traditional AI and machine learning methods to client business problems
- Managing project planning, budgets, timelines, and deliverables across multiple analytics engagements
- Developing statistical models, predictive solutions, and descriptive analyses that translate complex data into actionable insights
- Reviewing data science workflows, model outputs, and documentation to support consistency and technical rigor
- Coaching team members on data modeling, machine learning techniques, and effective use of analytics tooling
- Applying Python, R, TensorFlow, Scikit-learn, and related programming languages to build and refine models
- Working through data preparation, feature engineering, model testing, and performance evaluation across varied datasets
- Presenting findings and recommendations to client stakeholders in a clear, business-focused manner
- Identifying opportunities to improve data quality, automation, and analytical methods within client environments
What Sets You Apart
- Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering
- Demonstrating experience leading AI and machine learning delivery teams
- Applying statistical analysis to complex business and client data
- Managing project planning, budgeting, execution, and timelines
- Coaching team members through model development and review cycles
- Translating technical findings into client-ready recommendations
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Using AI fluency and data-driven decision making in delivery
- Advanced ML Algorithms
- Feature Engineering Strategy
- Model Optimization
- Statistical Frameworks
- Experimental Design
- MLflow Integration
Skills
- Python
- Tensorflow
- Scikit-learn
- processing-js
- ml-flow
- mlflow
