Data Science Intern
Louis Dreyfus Company
- Singapore
- Training
- Full-time
- Between July to Dec 2024
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements for market data visualization.
- Design and implement interactive dashboards using Python libraries (such as Pandas, Matplotlib, and Plotly) or Power BI.
- Ensure that the dashboards are user-friendly, visually appealing, and provide actionable insights.
- Data Integration and Cleaning:
- Extract, transform, and load (ETL) data from various sources (e.g., APIs, databases, spreadsheets).
- Clean and preprocess data to ensure accuracy and consistency.
- Handle missing values, outliers, and data quality issues.
- Market Data Analysis:
- Analyze market data, including stock prices, financial indicators, and economic trends.
- Identify patterns, correlations, and anomalies.
- Create visualizations that highlight key insights for decision-makers.
- Collaboration:
- Work closely with cross-functional teams to understand business requirements.
- Collaborate with developers, designers, and product managers to integrate dashboards into existing systems.
- Documentation and Communication:
- Document your work, including data sources, methodologies, and assumptions.
- Present findings and insights to stakeholders in a clear and concise manner.
- Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Technical Skills:
- Proficiency in Python for data manipulation, visualization, and dashboard development.
- Familiarity with Power BI or willingness to learn.
- Knowledge of data cleaning techniques and best practices.
- Analytical Mindset:
- Ability to analyze complex data sets and derive meaningful insights.
- Strong problem-solving skills.
- Communication Skills:
- Excellent verbal and written communication skills.
- Ability to explain technical concepts to non-technical stakeholders.