Experienced Associate – PwC
Role Summary
The Experienced Associate - Data Engineer cum Scientist is responsible for leveraging data to drive insights and make informed business decisions. This hybrid role involves designing and maintaining robust data infrastructure while developing advanced analytical and machine learning models.
Job Description
In this role, you will work within PwC's data and analytics team, focusing on building scalable data pipelines and collaborating with cross-functional teams. You will perform exploratory data analysis and create dashboards to effectively communicate findings.
Key Responsibilities:
- Design and maintain robust data infrastructure.
- Build scalable data pipelines to support analytics initiatives.
- Collaborate with cross-functional teams to understand data needs.
- Perform exploratory data analysis to uncover insights.
- Create dashboards to communicate findings effectively.
- Develop advanced analytical and machine learning models.
- Stay current with emerging technologies to drive innovation.
Job Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or related fields.
Minimum 2 years of professional experience in data engineering, data science, or combined analytics roles.
Strong programming skills in Python and SQL.
Experience with data engineering tools and frameworks like Apache Hadoop, Spark, Kafka, Airflow.
Proficiency with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
Experience with cloud platforms (AWS, Azure, GCP).
Solid understanding of data warehousing and ETL best practices.
Excellent communication skills.
Quick Info
Company
PwC
Location
Kuala Lumpur
Salary
—
Skills Required
8 skills
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Required Skills
Python
SQL
Data Engineering
Machine Learning
Data Analysis
Communication
Cloud Platforms
Data Warehousing
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