Data Scientist
2 weeks ago
Working Hour
Regular Hours
Monday - Friday
Business Area
Strategy & Analytics
Location
Malaysia - Kuala Lumpur
Description
**Primary Objective**:
- To actively lead, participate and contribute in identification of business use-cases for innovative ideation, design, build, test, and execution for Digital Marketing and Digital Retail Bank units to uplift business revenue or in cost optimization efforts.
- To develop and deliver business use-cases for innovative ideation, design, build, test, and execution for Digital Marketing and Digital Platform units to achieve business targets.
- To influence business teams on the required data-driven solutions and the recommended approached.
**Key Responsibilities**:
- To engage with respective Digital Marketing and Digital Retail Bank stakeholders to ensure alignment on data-solutions, deliverables and standards against Business Challenges.
- To develop and work complex rules to enable x-sell and personalization with the right offer to the digital platforms.
- To engage with the Business teams on business opportunities & segment leads on core priorities and business impact.
- To work closely with business owners to address business problem using data analytics to provide insights for business decision making.
- To be embedded into business squad team in Agile methodology for better business knowledge improvement and provide value to business.
- To develop and execute advanced analytics solutions focusing mainly on development of machine learning models to business units.
- To identify, design, develop and execute the required analytical algorithms, techniques and statistical methods to address and then solve business problems through data solutions.
- To understand the algorithms/methodologies related implications of advanced analytics solutions, and assist in defining the solutions to support any future business requirements.
- To build revenue tracking for management reporting on Analytics use cases.
- To present business Opportunities, reviewed and expected results with Product owners.
**Requirements**:
**Requirements**:
Bachelor degree or above in Economics, Finance, Math, Statistics or equivalent
**Preferred level of Experience**:
- Experienced in engaging Business teams on Business Values and good understanding of Core P & L impact Management.
- Minimum 6 years’ experience in analytical and statistical modelling related roles with at least 2 years Digital Banking experiences or working in a Fintech.
**Other skills required**:
- Proficient in SAS Programming (minimum 5 years) and Proficient Python Programming Language.
- Ability to generate analytical insights to business problems.
- Present and communicate with clarity the analytical solutions.
- Work in Agile Environment.
- Deep expertise in data mining, analytical techniques & solutions.
- Hands on experience in handling & managing large quantum of data via appropriate tools & techniques.
- Excellent understanding of relevant Big Data tools like SAS, Tableau.
- Data Modelling experience (e.g. demand forecasting, segmentation, propensity).
**Benefits**:
Dental, Education support, Miscellaneous allowance, Medical, Loans, Sports (e.g. Gym), Parking, Vision, Regular hours, Mondays - Fridays, Casual Business Wear, Performance Based Rewards
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