Junior Data Scientist Internship in Bengaluru Bangalore

As a Junior Data Scientist you will have the opportunity to learn and grow in a dynamic environment, working closely with senior data scientists and supply chain experts.

You will play a vital role in leveraging data to enhance our supply chain processes, improve efficiency, and drive cost savings.

Key Responsibilities :

1. Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and insights that can help optimize supply chain operations.

2. Data Cleaning and Preparation: Clean, preprocess, and transform raw data to make it suitable for analysis, ensuring data quality and reliability.

3. Statistical Modeling: Assist in building and applying statistical models to support demand forecasting, inventory optimization, and other supply chain functions.

4. Data Visualization: Create clear and insightful data visualizations to communicate findings and support decision-making.

5. Predictive Analytics: Collaborate with senior data scientists to develop and apply predictive models for supply chain performance and demand forecasting.

6. Report Generation: Generate regular reports on collaborate with analysts to refine and distribute high-value key supply chain metrics and present findings to stakeholders.

7. Data Integration: Work with data engineers to integrate and unify data from various sources for analysis.

8. Hypothesis Testing: Assist in designing and conducting experiments simulations to test hypotheses and evaluate the impact of supply chain initiatives.

9. Collaboration: Collaborate with cross-functional teams, including supply chain analysts and operational teams, to understand business requirements and offer data-driven solutions.

10. Learning and Development: Stay up-to-date with the latest data science techniques, tools, and technologies.

Qualifications : -

Bachelors degree with 3 years of experience or Master s degree with strong academic record in a quantitative field, such as Statistics, Mathematics, Computer Science, or a related discipline. 

Strong analytical and problem-solving skills and strong mathematics - Basic proficiency in programming languages (e.g., Python, R). - Leveraging of libraries like NumPy, TensorFlow, PyTorch or Keras for data manipulation and model development. 

Familiarity with data analysis and visualization tools (e.g., Pandas, Matplotlib, Power BI, Tableau), as well as data warehousing and ETL processes (e.g. SQL, Informatica, Spark, Talend) 

Excellent communication and teamwork skills. 

Eagerness to learn and adapt to new challenges.

Internship or coursework in data science, machine learning, or statistics. - Knowledge of SQL for data querying warehousing and ETL tools (e.g. SQL, Informatica, Spark, Talend, etc.). -

Understanding of supply chain concepts is a plus but not required