Data Intern

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Responsibilities:

• Assist in designing, building, and maintaining data pipelines and ETL processes.
• Clean, transform, and analyze large datasets from various sources.
• Collaborate with data scientists and engineers to develop models and dashboards.
• Support the deployment and monitoring of machine learning models.
• Document processes and contribute to data quality and governance initiatives.
• Explore new tools and technologies to improve data workflows.

Requirements:

• Degree in Computer Science, Data Science, Engineering, or a related field.
• Familiarity with Python, SQL, and data manipulation libraries (e.g., Pandas, NumPy).
• Basic understanding of data warehousing concepts and cloud platforms (e.g., AWS, GCP, Azure), and PowerBI Visualization.
• Exposure to machine learning concepts and tools (e.g., scikit-learn, TensorFlow) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.