Robert Walters Hiring! Full Time Senior Data Scientist - Analytics (Malaysian only!) in Federal Territory - Ricebowl

A prestigious financial institution in Kuala Lumpur is seeking a Senior Data Scientist - Analytics to join its high-performing analytics team. This role offers you the chance to apply advanced analytics, statistical modelling, and machine learning to real-world business challenges, all while working closely with stakeholders to turn data into actionable insights and measurable business outcomes.

What you'll do:

As a Senior Data Scientist - Analytics based in Kuala Lumpur, you will play a pivotal role in driving the organisation's data-driven culture by partnering with stakeholders across multiple departments. Your day-to-day activities will involve analysing vast datasets using advanced techniques such as statistical modelling and machine learning. You will be responsible for developing practical solutions that address complex business challenges while ensuring your findings are communicated effectively to both technical experts and senior leaders. By leading end-to-end projects-from initial problem scoping through model development to implementation-you will help shape strategic initiatives that impact customer experience and business performance. Your ability to collaborate with cross-functional teams will be essential in improving data quality and accessibility. Additionally, you will contribute to building scalable models and best practices that reinforce the company's commitment to excellence in analytics. Staying abreast of emerging developments in the field will allow you to introduce innovative approaches that further enhance the organisation's competitive edge.

• Partner with business stakeholders across various functions to understand their challenges, identify opportunities, and translate them into data-driven solutions that create tangible value.
• Analyse large and complex datasets to uncover trends, customer behaviours, business opportunities, and potential risks that inform key business strategies.
• Apply statistical analysis, predictive modelling, and machine learning techniques to address business problems and generate forward-looking insights for decision makers.
• Develop robust analytical models and frameworks that support areas such as customer analytics, business performance tracking, forecasting, segmentation, and other strategic initiatives.
• Conduct exploratory and deep-dive analyses to identify key drivers, patterns, and insights within the data, translating findings into clear recommendations for action.
• Lead end-to-end analytics and data science projects from problem definition through data exploration, modelling, implementation, and measurement of outcomes.
• Present analytical findings, insights, and recommendations clearly to senior management as well as non-technical stakeholders to ensure understanding and buy-in.
• Create dashboards, reports, and visualisations as needed to support ongoing business performance tracking and facilitate informed decision making.
• Collaborate closely with Data Engineering, Technology, Risk Management, and other teams to improve data quality, accessibility, and usability throughout the organisation.
• Develop scalable analytical approaches, reusable models, and best practices that strengthen the organisation's overall data science capabilities.

What you bring:

To excel as a Senior Data Scientist - Analytics in this esteemed financial institution based in Kuala Lumpur, you should bring proven expertise gained from extensive experience working on advanced analytics projects. Your academic background in quantitative disciplines underpins your technical abilities while hands-on proficiency with Python ensures you can build sophisticated models tailored for business needs. Experience handling large datasets using SQL is crucial for extracting actionable insights efficiently. You must demonstrate practical application of statistical analysis methods-such as predictive modelling or machine learning-to solve complex organisational challenges. Your capacity for translating abstract business questions into concrete analytical solutions sets you apart as someone who understands both technical detail and commercial impact. Effective communication skills are vital; presenting nuanced findings clearly across stakeholder groups fosters trust and drives adoption of recommendations. Familiarity with visualisation platforms like Power BI or Tableau enhances your ability to share results persuasively. Analytical thinking combined with structured problem-solving enables you to approach multifaceted issues methodically while previous exposure within banking or financial services brings valuable industry perspective.

• A Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics, Engineering or another quantitative discipline provides a strong foundation for success in this role.
• Approximately 7-10 years of professional experience is expected with at least 5 years dedicated specifically to Data Science or Advanced Analytics roles within complex environments.
• Hands-on proficiency in Python for data analysis including statistical modelling or machine learning ensures you can deliver robust analytical solutions.
• Strong command of SQL coupled with experience working on large-scale datasets enables efficient extraction of meaningful insights from complex information sources.
• Practical experience applying statistical analysis techniques such as predictive modelling or machine learning demonstrates your ability to solve real-world business problems.
• Proven track record translating business questions into analytical approaches resulting in actionable recommendations highlights your commercial acumen.
• Experience engaging with stakeholders across different levels-including presenting complex findings clearly to senior management or non-technical audiences-shows your interpersonal skills.
• Familiarity with data visualisation tools like Power BI or Tableau allows you to communicate results effectively through compelling visuals.
• Exceptional analytical thinking combined with structured problem-solving skills equips you to tackle intricate challenges methodically.
• Previous exposure within banking or financial services would be highly advantageous but not mandatory; it adds valuable industry context.

What sets this company apart:

This organisation stands out as one of Malaysia's most respected financial institutions renowned for its commitment to fostering a collaborative culture among employees. The analytics team operates within a technology-enabled environment where knowledge sharing is encouraged across all levels-ensuring everyone benefits from collective expertise. Employees enjoy access to ongoing training opportunities designed not only for skill enhancement but also personal growth; this reflects the company's dedication towards nurturing talent over time. Investment in state-of-the-art data infrastructure means you'll always have access to modern tools required for impactful analysis. The institution values inclusivity-providing equal opportunities regardless of background-and supports flexible working arrangements wherever possible so staff can balance professional ambitions alongside personal commitments. As part of this team you'll see your contributions directly influence major decisions affecting customers' experiences as well as broader strategic direction; it's an environment where every voice matters.

What's next:

If you're ready for your next challenge in advanced analytics within a leading financial institution-and want your work to make a real difference-this is your moment!

Apply today by clicking on the link provided; take the next step towards advancing your career in data science and analytics.

Do note that we will only be in touch if your application is shortlisted.

Agensi Pekerjaan Robert Walters Sdn Bhd
Business Registration Number : 729828-T
Licence Number : JTKSM 423C