Senior Data Scientist

PwC; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading professional services firm in Kuala Lumpur seeks a Data Scientist to analyze complex datasets and develop predictive models. In this role, you will collaborate with various stakeholders to deliver actionable insights, utilizing advanced data techniques. The ideal candidate will possess skills in data analysis and machine learning, with a commitment to staying updated on industry trends. This position offers the opportunity to enhance your expertise in data governance and project management.

Qualifications

• Experience in analyzing large datasets and deriving insights.
• Proficiency in machine learning algorithms and statistical methods.
• Ability to create compelling data visualizations.

Responsibilities

• Analyze large datasets to identify patterns and trends.
• Develop predictive models to support business objectives.
• Create clear visualizations to communicate insights.

Skills

Data analysis

Machine Learning

Statistical techniques

Data visualization

Data preprocessing

Job description

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.

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.