PwC Malaysia Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Senior Data ScientistJob Description & Summary
At PwC, we specialize in providing cutting-edge data solutions that drive business success.
We partner with clients across diverse industries to understand their data needs, design robust data architectures, and implement scalable data solutions.
Our team is dedicated to solving complex data challenges and delivering strategic solutions that align with our clients' goals.
As a Data Scientist, you will be responsible for analyzing complex datasets to extract meaningful insights and develop predictive models that support strategic decision-making.
You will work closely with solution architects, devops engineers, data engineers, and other stakeholders to create reliable and efficient data systems using cutting-edge technologies such as GenAI, Machine Learning, etc.
In this role, you will also get the opportunity to enhance your expertise across a broad spectrum of data-related disciplines such as data governance, data strategies, data science, and project management.
Key Responsibilities
Analyze large and complex datasets to identify patterns and trends using statistical techniques to derive actionable insights.
Develop, test, and validate predictive and descriptive models to support business objectives.
Apply machine learning algorithms and statistical methods to solve real-world problems.
Create clear and compelling visualizations to communicate findings and insights to stakeholders.
Clean, preprocess, and transform data from various sources to ensure accuracy and usability for analysis and modeling.
Generate and present reports that summarize analytical findings and recommendations.
Provide actionable insights to guide strategic decision-making.
Stay abreast of the latest trends and advancements in data science, machine learning, and analytics.
Propose and implement innovative techniques and methodologies to enhance data practices.
Maintain thorough documentation of data science processes, models, and methodologies to ensure transparency and reproducibility.
Experience And Qualifications
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, with a proven track record of applying data science techniques to drive business outcomes.
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).
Proficient in cloud platforms (e.g.
AWS Sagemaker, AWS Quicksight, Azure Machine Learning).
Experience with deep learning techniques and natural language processing (NLP).
Excellent analytical and problem-solving skills with the ability to tackle complex data challenges and derive actionable insights.
Strong verbal and written communication skills, with the ability to present complex findings in a clear and concise manner.
Knowledge of data privacy and security best practices.
Seniority levelMid-Senior level
Employment typeFull-time
Job functionEngineering and Information Technology
IndustriesAccounting#J-18808-Ljbffr