Data Scientist, Retail and Non-retail

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

Job summary

A leading financial institution in Kuala Lumpur seeks a Data Analyst to design and support big data analytics. The role involves collaborating with data scientists and building tools for performance metrics. Candidates should have a Bachelor's degree and at least 5 years in the data domain, with strong skills in R, Python, and SQL. This position offers the chance to work in a dynamic environment with flexible deadlines.

Qualifications

• Minimum 5 years of experience in the data domain.
• Exposure to Computer Science, Actuarial Science, Quantitative Analytics.

Responsibilities

• Design, develop, implement, and support big data analytics capabilities.
• Define database structure and security requirements.
• Build analytics tools for business performance metrics.
• Collaborate with senior data scientists on business problems.

Skills

Scripting languages (R, Python, SQL)

Technical communication

Analytical skills

Problem-solving skills

Education

Bachelor’s Degree in IT, Computing, Accountancy, Business, Finance, Marketing, Economics or related fields

Job description

Responsibilities:

The accountabilities include (but are not limited to):

1. Design, develop, implement, and support emerging big data analytics capabilities through the development and maintenance of advanced data ingestion, processing, modeling, and reporting capabilities.
2. Support solutionists by defining database physical structure and functional capabilities, database security, data backup, and recovery strategies.
3. Build analytics tools utilizing data pipelines into customer acquisition, operational efficiency, and other key business performance metrics — with the goal of providing actionable insights and meaningful visualizations.
4. Collaborate with senior data scientists to understand business problems, interpret data, and feed curated data into models (Predictive/Machine Learning).
5. Ensure data ingestion and conversion consider relevant metrics, from appropriate sources, in the correct sequence.

Qualifications

• Bachelor’s Degree in IT, Computing, Accountancy, Business, Finance, Marketing, Economics, or related fields.
• Minimum 5 years of experience in the data domain, with exposure to Computer Science, Actuarial Science, Quantitative Analytics, etc.

Competencies

• Strong understanding of scripting languages and tools (e.g., R, Python, SQL).
• Ability to translate stakeholder requirements into well-defined specifications and data structures.
• Strong investigative skills to connect multiple databases across segments, businesses, products, and groups.
• Effective communication of technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving skills.
• Good verbal and written communication skills.
• Ability to work under pressure and meet individual and team deadlines.
• Flexibility and commitment in a deadline-oriented environment.