Senior Associate & Data Scientist

PwC Malaysia; Kuala Lumpur; On-site; MYR 80,000 - 100,000; Full time

Job summary

A global consulting firm in Kuala Lumpur is seeking a Senior Associate in Data Science. The role involves leveraging data analytics to drive insights for clients, developing innovative solutions, and creating compelling visualizations. Ideal candidates will have 4-5 years of experience and proficiency in tools like Python, SQL, and Tableau. Strong analytical skills and the ability to communicate complex findings clearly are essential. Competitive compensation and career growth opportunities are available.

Qualifications

• 4-5 years of experience as a Data Scientist or similar role.
• Proficient in data analysis and visualization tools.
• Excellent analytical and problem-solving skills.

Responsibilities

• Analyze large datasets to derive actionable insights.
• Develop and validate predictive models.
• Create visualizations to communicate findings.
• Transform data for analysis and modeling.

Skills

Data Analysis

Machine Learning

Statistical Techniques

Data Visualization

Communication

Education

Bachelor’s Degree in Data Science or related field

Tools

Python

R

SQL

Tableau

Power BI

TensorFlow

AWS SageMaker

Azure Machine Learning

Job description

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Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

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 related field.
• Minimum 4 to 5 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) with experience in 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, capable of presenting complex findings clearly and concisely.
• Knowledge of data privacy and security best practices.

Education

Degrees/Field of Study required: Degrees/Field of Study preferred:

Certifications

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 17 more}

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

March 31, 2026

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