Graduate

The candidate should be a motivated and intellectually curious graduate. This graduate program offers a unique opportunity to apply academic knowledge to real-world business challenges, working alongside experienced data scientists and analysts. The successful candidate will contribute to the full lifecycle of data projects, from collection and cleaning to analysis and visualization, helping to drive data-informed decisions across the company.

Key Responsibilities

Data Preparation: Clean, process, and transform large, complex datasets to prepare them for analysis, ensuring data quality and integrity.

Analysis & Modeling: Assist in developing and testing statistical models, predictive algorithms, and machine learning prototypes under the guidance of senior staff.

Reporting & Visualization: Create and maintain dashboards and reports using data visualization tools to communicate key metrics and insights to stakeholders.

Documentation: Document data processes, models, and code for transparency and reproducibility.

Collaboration: Participate in team meetings and contribute ideas to solve business problems using data.

Qualifications

Currently enrolled in or a recent graduate (within the last 12 months) of a Master’s or Bachelor’s program in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.

Strong foundational knowledge of statistical analysis and data modeling principles.

Experience with SQL for data extraction and manipulation.

Experience with data visualization tools (e.g., Tableau, Power BI, Looker).

Excellent problem solving skills and a strong attention to detail.

Ability to communicate complex data findings clearly and effectively.