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Supply Chain Data Science Intern

Min Experience

0 years

Location

india, navi-mumbai, maharashtra

JobType

internship

About the job

Info This job is sourced from a job board

About the role

We are seeking a Data Science Intern to support our Supply Chain team by leveraging data-driven insights for improved decision-making. This role is ideal for a student or recent graduate in Data Science, with strong analytical, visualization, and data engineering skills. A background in supply chain is not mandatory, but a passion for working with complex data sets is essential. What you´ll do Develop statistical, machine learning models to analyze and interpret supply chain data. Build and optimize Power BI dashboards to provide actionable insights. Work with R or Python to clean, process, and analyze large datasets. Assist in data engineering tasks, including data extraction, transformation, and loading (ETL). Conduct exploratory data analysis and develop visualizations to communicate findings effectively. Collaborate with cross-functional teams to improve data-driven decision-making. What makes you a good fit Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field. Strong proficiency in statistical analysis and data modeling. Hands-on experience with Power BI for dashboard creation and data visualization. Proficiency in R or Python for data analysis and automation. Knowledge of data engineering concepts (ETL, data pipelines, SQL). Strong problem-solving skills and attention to detail. Preferred Qualifications Experience with machine learning or predictive analytics. Familiarity with cloud platforms, preferably Azure. Understanding of business intelligence (BI) tools beyond Power BI.

About the company

Building on a strong legacy of more than 145 years, we are leading the way to reimagine and improve life every day. Today and for generations to come. Through our innovative and sustainable brands and technologies, across our teams around the world. Henkel holds leading positions in both industrial and consumer businesses: Our portfolio includes well-known hair care products, laundry detergents, fabric softeners as well as adhesives, sealants, and functional coatings.

Skills

sql
r
python
data-engineering
data-analysis
data-visualization