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1.539

Model-Jobs in Malaysia

Data Scientist

RHB Bank

Kuala Lumpur
Vor Ort
MYR 60.000 - 80.000
Vor 9 Tagen
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MYR 80.000 - 100.000
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Vor Ort
MYR 80.000 - 100.000
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Data Scientist
RHB Bank
Kuala Lumpur
Vor Ort
MYR 60.000 - 80.000
Vollzeit
Vor 10 Tagen

Zusammenfassung

A leading financial institution in Kuala Lumpur is seeking a Data Scientist to work with large datasets to generate insights and analytical models. The role involves collaboration with business and technology teams to support data-driven decision making. Key qualifications include a degree in a relevant field and strong experience in data analysis, data mining, and machine learning techniques. The position offers competitive remuneration and opportunities for professional growth.

Leistungen

Competitive remuneration
Opportunities for continuous learning
Collaborative work environment

Qualifikationen

  • Strong experience in data analysis and machine learning techniques.
  • Hands-on experience with both structured and unstructured datasets.
  • Ability to translate complex analytical results into clear business insights.

Aufgaben

  • Conduct data mining and extraction from various sources.
  • Utilize machine learning tools for model building to support decision making.
  • Analyze structured and unstructured datasets to find patterns and propose solutions.
  • Collaborate with cross-functional teams on analytics initiatives.

Kenntnisse

Data analysis
Data mining
Machine learning techniques
Collaboration
Communication skills

Ausbildung

Degree in data science, computer science, statistics, mathematics, or a related field

Tools

Data science tools and programming languages
Jobbeschreibung

We are looking for a Data Scientist to join our team at RHB Bank. In this role, you will work with large and diverse datasets to generate insights, build analytical models, and support data-driven decision making across the Bank. You will collaborate closely with business and technology teams and contribute to the continuous development of data science practices.

What you will be doing

Conduct data mining and extraction from various sources.

Utilize machine learning tools for model building to support decision making.

Contribute to the development of best practices in data science.

Analyze structured and unstructured datasets to find patterns/insights and propose solutions.

Develop insights from data patterns to support decision-making.

Participate in project to render support to project team with minimum supervision.

Collaborate with peers to share expertise and insights.

Mentor and guide associate data scientist in analytics projects.

Collaborate with cross-functional teams on analytics initiatives to achieve the business revenue or cost value goal outcome.

Contribute to the development of best practices in data science.

What we’re looking for

Degree in data science, computer science, statistics, mathematics, or a related field.

Strong experience in data analysis, data mining, and machine learning techniques.

Hands‑on experience working with both structured and unstructured datasets.

Proficiency in data science tools and programming languages commonly used for analytics and modeling.

Ability to translate complex analytical results into clear business insights.

Strong collaboration and communication skills, with the ability to work across teams.

Self-driven, analytical, and comfortable working in a fast-paced, project-based environment.

Experience mentoring or guiding junior team members is an advantage.

What we offer

At RHB Banking Group, you will work in a collaborative environment that values data-driven thinking and innovation. We offer competitive remuneration, opportunities to work on impactful analytics initiatives, and continuous learning to support your growth as a data professional.

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* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.

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