Senior Data Scientist – PwC
Role Summary
The Senior Data Scientist is responsible for analyzing large and complex datasets to identify patterns and trends. This role significantly impacts strategic decision-making by developing predictive models and collaborating with solution architects and engineers.
Job Description
As a Data Scientist at PwC, you will engage in day-to-day analysis of data, working in a collaborative environment with engineers and architects to create efficient data systems. You will utilize advanced technologies like GenAI and Machine Learning to support your analyses and decision-making processes.
Key Responsibilities:
- Analyze large datasets to identify patterns and trends.
- Develop predictive models to support strategic decision-making.
- Collaborate with solution architects and engineers to create efficient data systems.
- Clean and transform data for analysis.
- Generate reports to communicate findings effectively.
- Stay updated on data science trends to propose innovative methodologies.
- Utilize advanced technologies such as GenAI and Machine Learning in projects.
Job Requirements
Bachelor’s Degree in Data Science, Computer Science, Statistics, Mathematics, or a similar field.
Minimum 2-3 years of experience as a Data Scientist or in a similar role.
Proficient in data analysis and visualization tools (e.g., Python, R, SQL, Tableau, Power BI).
Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch).
Excellent analytical and problem-solving skills.
Strong verbal and written communication skills.
Knowledge of data privacy and security best practices.
Quick Info
Company
PwC
Location
Kuala Lumpur
Salary
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Skills Required
7 skills
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Required Skills
Python
Data Analysis
Machine Learning
Data Visualization
Communication
Problem-Solving
Collaboration
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