Deskripsi Pekerjaan
Are you a passionate data enthusiast looking to kickstart your career with a global leader in logistics and supply chain solutions? PSA BDP is seeking a highly motivated and analytical Data Science Intern to join our dynamic team in Singapore.
As a Data Science Intern, you will have the unique opportunity to work on real-world logistics challenges, leveraging advanced data analytics to drive operational efficiency and innovation. You will collaborate closely with experienced data scientists, engineers, and business leaders, translating complex datasets into actionable business insights. This role is designed for freshers from reputed institutions who possess a quick learning capacity and a highly positive, proactive mindset.
At PSA BDP, we value forward-thinking individuals who are eager to learn, adapt, and make a tangible impact. Join us to sharpen your technical capabilities in a supportive, fast-paced corporate environment that sits at the intersection of global trade and cutting-edge technology.
Tanggung Jawab
- Assist in the design, development, and evaluation of predictive models to optimize supply chain and logistics operations.
- Collect, clean, and preprocess structured and unstructured data from diverse internal databases.
- Conduct exploratory data analysis (EDA) to uncover operational bottlenecks and identify growth opportunities.
- Build and maintain interactive data dashboards and reports using tools like PowerBI or Tableau.
- Collaborate with cross-functional teams to understand project requirements and deliver data-driven solutions.
- Document model frameworks, codebases, and analytical workflows systematically to ensure reproducibility.
Kualifikasi
- Currently pursuing or recently graduated with a degree in Data Science, Statistics, Computer Science, or a related quantitative field from a reputable institution.
- Solid foundational knowledge of machine learning algorithms and statistical analysis techniques.
- Proficiency in Python or R for data analysis and software development.
- Strong working knowledge of SQL for querying relational databases.
- Familiarity with data visualization libraries or tools (e.g., Tableau, PowerBI, Seaborn, or Plotly).
- A positive, highly motivated, and "can-do" attitude with a strong capacity to learn new concepts quickly.
- Excellent communication and collaborative problem-solving skills.