Senior Data Scientist

NCSI (Malaysia) Sdn Bhd; Kuala Lumpur; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading technology services firm in Kuala Lumpur is seeking a Senior Data Scientist to tackle complex data challenges. The role involves working closely with business stakeholders to develop analytics solutions, managing data preprocessing, and deploying scalable models. Ideal candidates will have a postgraduate degree in a related field and experience in machine learning, Python, and data visualization tools. The firm offers competitive compensation and opportunities for professional development.

Benefits

Competitive compensation

Professional development support

Collaborative work environment

Qualifications

• 5 years’ experience in advanced analytics delivery or equivalent academic exposure.
• Strong knowledge in feature selection and extraction.
• Expertise in supervised and unsupervised machine learning techniques.

Responsibilities

• Translate customer pain-points into analytics solutions.
• Manage the full lifecycle of data preprocessing and modeling.
• Build and deploy scalable advanced analytics models.

Skills

Feature selection and extraction

Machine learning techniques

Statistical analysis

Data visualization

Communication of quantitative analysis

Education

Post Graduate Degree in Mathematics, Applied Statistics or Business Analytics

Tools

Python

R

Apache Spark

Tableau

Docker

Kubernetes

Job description

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 13,000 has delivered large-scale, mission‑critical, and multi‑platform projects for governments and enterprises in Singapore and the APAC region.

Job Description

NCS is looking for a Senior data scientist to address challenging data science problems by discovering information hidden in vast amounts of data using techniques in statistics, machine learning, and data mining. The data scientist will work closely with business users, project managers, and database engineers to develop sophisticated analytics algorithms that provide actionable insights. The role requires being a trusted adviser to clients in conceptualizing advanced analytics solutions and enabling their journey in data science.

On regular workdays, the candidate will serve as a Project Executive within NCS’s project management team, supporting another project.

Responsibilities

• Translate customer pain‑points into problem statements and architect analytics solutions
• Present results and learnings to technical and non‑technical audiences
• Manage full lifecycle of data cleaning, preprocessing, feature engineering, modeling, and deployment
• Validate models with statistically sound justifications for selection and performance
• Build and deploy efficient and scalable advanced analytics models in production
• Design and develop visualizations and dashboards to explain actionable insights
• Contribute to data architecture engineering decisions to support analytics
• Work with project managers and leads on status reporting and solution evaluation
• Collaborate in interdisciplinary teams using waterfall or agile methodologies
• Mentor and upskill peers and juniors and contribute to internal networks

Qualifications

• Post Graduate Degree in Mathematics, Applied Statistics, Business Analytics or equivalent
• 5 years’ experience in advanced analytics delivery or equivalent academic exposure for interns
• Strong knowledge in feature selection and extraction across varied data types
• Competency in supervised and unsupervised machine learning techniques
• Solid understanding of statistics, NLP, simulation, and optimization
• Proficiency in Python or R, and Apache Spark or similar scripting language
• Experience with data visualization tools such as Tableau, Qlik, Plotly, or ggplot2
• Experience with machine learning model deployment using Docker or Kubernetes
• Ability to communicate complex quantitative analysis in a concise and actionable manner
• Skilled in manipulating and analyzing complex, high‑volume, structured and unstructured data

Additions

• Experience in Amazon Web Services, Microsoft Azure, Cloudera, Hadoop, Spark, or Storm
• Familiarity with associated tools such as Pig, Hive, or Mahout
• Experience with DevOps tools in analytics project delivery
• Experience in application or software development and design
• Exposure to deep learning and reinforcement learning
• Experience in implementing graph database analytics
• Knowledge of database modeling and data warehousing concepts

Why Join NCS

• Lead high‑impact Data & AI advisory programs for major enterprises and public sector clients.
• Shape enterprise strategies and governance frameworks that drive real transformation.
• Work with a talented, multidisciplinary team in a collaborative environment.
• Competitive compensation and strong professional development support.

We are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.

Together, we make the extraordinary happen.

Learn more about us at ncs.co and visit our LinkedIn career site.

Scam Alert

We are aware of fraudulent job offers and impersonations of NCS recruiters. Phishing emails using convincing‑looking but fake addresses are also commonly used to trick you into thinking that they come from official NCS sources.

Please note that all official communications from NCS Group will only be sent from verified corporate email addresses. Always check that the sender’s email address ends with the genuine NCS domain, @ncs.com.sg and beware of extra letters, symbols or misspellings. When in doubt, verify the sender’s identity by contacting us [e-mail].

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