Data Scientist

A prominent financial services organisation in Kuala Lumpur is seeking a Data Scientist to join its expanding analytics team. This role offers you the opportunity to be at the forefront of digital transformation, leveraging advanced analytics and artificial intelligence to drive meaningful business outcomes.

What you'll do:

As a Data Scientist based in Kuala Lumpur, you will immerse yourself in a dynamic environment where your analytical skills are central to driving business success. Your day-to-day responsibilities will involve developing sophisticated models that address complex organisational challenges while collaborating with various teams to ensure solutions are aligned with strategic objectives. You will be instrumental in transforming raw data into valuable insights through rigorous analysis and creative visualisation techniques. By actively engaging with stakeholders from different departments, you will help bridge the gap between technical capabilities and business needs. Your commitment to staying abreast of technological advancements will enable you to introduce new methodologies that enhance the team's effectiveness. Success in this role requires not only technical proficiency but also strong interpersonal skills as you communicate findings across all levels of the organisation. You will contribute meaningfully to AI-driven projects that shape the future direction of the company’s digital transformation journey.

• Develop, implement, and maintain predictive, statistical, and machine learning models tailored to solve complex business challenges within the financial services sector.
• Analyse large-scale datasets using advanced data mining techniques to uncover actionable insights, trends, and opportunities that support organisational growth and operational excellence.
• Collaborate closely with business stakeholders, data engineers, and technology teams to translate business requirements into robust analytical solutions that address real-world problems.
• Design and execute experiments for model validation and performance monitoring to ensure accuracy, reliability, and effectiveness of deployed models.
• Communicate analytical findings clearly through presentations and reports to both technical audiences and non-technical stakeholders, facilitating informed decision-making processes.
• Support the development of AI, machine learning, and advanced analytics initiatives across multiple business functions by providing expert guidance on best practices.
• Build interactive dashboards, comprehensive reports, and engaging data visualisations using tools such as Power BI or Tableau to enhance transparency and accessibility of information.
• Stay updated on emerging technologies, evolving data science methodologies, and industry best practices by participating in training sessions and knowledge-sharing activities.
• Contribute to the continuous improvement of analytics workflows by identifying process enhancements and advocating for innovative approaches within the team.

What you bring:

To excel as a Data Scientist in this role you will bring a blend of technical expertise and practical experience gained from working on challenging analytics projects. Your academic background equips you with foundational knowledge while your professional journey has honed your ability to apply advanced modelling techniques in real-world scenarios. You are comfortable navigating large datasets using Python or R alongside SQL queries to extract meaningful patterns. Familiarity with machine learning libraries enables you to build scalable solutions that address diverse business needs. Your understanding of statistical principles ensures your analyses are rigorous while your experience with cloud platforms allows you to leverage modern infrastructure for enhanced performance. Beyond technical skills you possess strong interpersonal abilities which facilitate effective collaboration across teams. You have demonstrated success communicating complex concepts clearly whether through written reports or engaging presentations. Experience within regulated industries such as banking or insurance further strengthens your profile though candidates from other sectors are welcome if they bring transferable skills. Your commitment to continuous learning means you stay current on best practices ensuring your contributions remain relevant as technology evolves.

• Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics or a related discipline is required for this position.
• Minimum 3–8 years of hands-on experience in Data Science, Machine Learning, Advanced Analytics or related fields within large enterprise environments.
• Strong proficiency in Python or R programming languages as well as SQL for data manipulation and analysis tasks.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow or PyTorch is essential for building robust models.
• Demonstrated ability in predictive modelling techniques including classification, clustering, forecasting or recommendation engines; experience with NLP projects is highly valued.
• Comprehensive understanding of statistical analysis methods and advanced data mining techniques relevant to financial services applications.
• Proven track record working with large-scale datasets; familiarity with cloud-based analytics platforms like AWS, Azure or GCP is advantageous.
• Excellent stakeholder management skills coupled with clear communication abilities for presenting complex findings effectively.
• Experience within banking, financial services, insurance, fintech or telecommunications sectors would be beneficial but not mandatory.
• Knowledge of MLOps practices for deploying machine learning models efficiently is considered an added advantage.

What sets this company apart:

This organisation stands out for its unwavering commitment to digital innovation within the financial services landscape. Employees benefit from an inclusive culture where teamwork is celebrated and every voice is heard—creating an environment conducive to sharing ideas freely. The company invests significantly in employee development through structured training programmes designed to keep staff at the cutting edge of analytics methodologies. Flexible working arrangements empower individuals to balance their professional ambitions with personal commitments while generous pension contributions provide long-term security. Supportive leadership fosters a sense of belonging encouraging employees not only to grow their careers but also contribute positively towards communal goals. Access to state-of-the-art technologies ensures you can experiment with new tools enhancing both productivity and creativity. The organisation’s regional presence offers unique networking opportunities allowing you to connect with peers across markets broadening your perspective on industry trends. Above all it is a place where your passion for data science can flourish supported by knowledgeable colleagues who value collaboration over competition.

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