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Data Scientist at RHB Banking Group

, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

14 Mar, 26

Salary

0.0

Posted On

15 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Mining, Machine Learning, Model Building, Data Analysis, Pattern Recognition, Decision Making, Mentoring, Collaboration, Best Practices, Project Support, Analytics, Cross-Functional Teams, Insights Development, Structured Data, Unstructured Data, Guidance

Industry

Financial Services

Description

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. A mantra for our clients, customers, partners and every member of the RHB family. Yes, you. Our employees are one of the reasons we are here today. Dynamic, forward-thinking and progressive, there is a reason why we are an award-winning financial institution. Join us today and be a part of a winning family. At RHB, we take pride in our people and our teams. Great relationships built on trust, a 'leading it right' environment, challenging assignments and a culture of excellence are the pillars to the dynamic and diversified workplace we call home. As we grow towards realising our aspirations, we promise a workplace built on the five pillars – RHB Cares; RHB Leads; RHB Inspires; RHB Progresses; and RHB Rewards.

Responsibilities

The Data Scientist will conduct data mining and extraction from various sources and utilize machine learning tools for model building to support decision-making. They will analyze both structured and unstructured datasets to find patterns and insights, contributing to best practices in data science.