Senior Data Scientist

Malaysia·Kuala Lumpursenior

Data ScientistData

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Quick Summary

Key Responsibilities

Analyze large and complex datasets to identify patterns and trends using statistical techniques to derive actionable insights. Develop, test,

Requirements Summary

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,

Technical Tools

Data ScientistData

Assurance

Not Applicable

Risk Architecture

Senior Associate

At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.

In IT audit at PwC, you will focus on helping to assess and evaluate the design and effectiveness of an organisation's IT systems and controls to provide compliance with regulations and mitigate risks.

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 architect, devops engineer, data engineer, 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.

Responsibilities

~1 min read

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Analyze large and complex datasets to identify patterns and trends using statistical techniques to derive actionable insights.
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Develop, test, and validate predictive and descriptive models to support business objectives. Apply machine learning algorithms and statistical methods to solve real-world problems.
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Create clear and compelling visualizations to communicate findings and insights to stakeholders.
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Clean, preprocess, and transform data from various sources to ensure accuracy and usability for analysis and modeling.
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Generate and present reports that summarize analytical findings and recommendations. Provide actionable insights to guide strategic decision-making.
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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.
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Maintain thorough documentation of data science processes, models, and methodologies to ensure transparency and reproducibility.

Requirements

~1 min read

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.

Up to 40%

Nice to Have

~1 min read

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Client Management, Communication, Compliance Program Implementation, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, External Audit, Financial Reporting, Generally Accepted Auditing Standards (GAAS), Governance Framework {+ 22 more}

Yes