Responsibilities
Leveraging advanced analytics and statistical techniques to extract insights from large datasets
Designing and developing robust data solutions to transform raw data into actionable insights
Conducting exploratory and descriptive analysis to inform strategic decision-making
Creating data visualizations to solve complex business problems
Utilizing machine learning algorithms and predictive modeling to enhance data-driven decision making
Collaborating with clients to understand their data needs and deliver tailored solutions
Managing data pipelines and confirming data quality throughout the analysis process
Applying data science workflows to streamline processes and improve efficiency
Integrating artificial intelligence and deep learning techniques to drive innovation
Mentoring junior team members and guiding them in data science methodologies




Interpreting data to provide insights and recommendations for business growth
Upholding qualified and technical standards in all client engagements

What You Must Have
At least a Bachelor's degree
At least 4 years of experience
Oral and written proficiency in English required
Robust supply chain domain knowledge (inventory planning, demand forecasting, logistics)
Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage
Proficiency in forecasting techniques (e.g., HoltWinters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised)

📌 Data Scientist Bangalore Rural
🏢 PwC
📍 Bangalore Rural