Data Scientist (4000-8000 | 12 months | Public Sector)

BGC GROUP PTE. LTD.; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A leading technology firm in Singapore is seeking an experienced Data Scientist to join their cybersecurity team. This role involves detecting unauthorized access and utilizing advanced data science techniques to mitigate risks. Ideal candidates will have a strong background in cybersecurity, proficiency in programming languages like Python and R, and experience working with large datasets. This full-time position offers a competitive salary range of $4000-$8000 per month.

Qualifications

• 5+ years in data science or machine learning roles, preferably in cybersecurity.
• Strong expertise in anomaly detection and behavioral analytics.
• Hands-on experience with relevant ML libraries.

Responsibilities

• Engage with stakeholders to understand challenges related to unauthorized privileged access.
• Design and deploy machine learning models to detect security breaches.
• Lead the engineering team and support their development.

Skills

Anomaly detection

Behavioral analytics

Classification models

Python

R

Education

Bachelor’s or Master’s degree in relevant field

PhD preferred

Tools

scikit-learn

TensorFlow

PyTorch

Job description

Overview

• Job Title: Data Scientist (4000-8000 | 12 months | Public Sector)
• Duration: 12 months
• Location: Pasir Panjang Rd, Mapletree Business City
• Salary Range: $4000-$8000
• Eligibility: Only Singaporeans

We are seeking a highly skilled and motivated Data Scientist to join our cybersecurity team, focusing on detecting and preventing unauthorized privileged access. In this role, you will leverage advanced data science techniques and machine learning models to identify security threats, mitigate risks, and protect critical assets. You will collaborate closely with business stakeholders, cybersecurity experts, and engineers to deliver actionable insights and production-ready solution.

Job Highlights

• Engage with various stakeholders and cybersecurity teams to deeply understand evolving challenges related to unauthorized privileged access and identify opportunities for data-driven solutions.
• Design, develop, and deploy advanced machine learning models and analytical techniques to detect anomalous behavior and potential security breaches.
• Continuously monitor and evaluate model performance; iterate to improve detection accuracy and reduce false positives.
• Collaborate with engineering teams to build scalable and reliable production systems that operationalize detection models.
• Lead, mentor, and support the engineering team, fostering their technical growth and development.
• Communicate complex findings and insights clearly to both technical and non-technical stakeholders, driving data-informed decision-making.
• Lead project planning and timeline management to ensure timely delivery of analytics solutions.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. PhD preferred.
• Proven experience (typically 5+ years) in data science or machine learning roles, preferably within cybersecurity or fraud detection domains.
• Strong expertise in anomaly detection, behavioral analytics, and classification models.
• Hands-on experience with Python, R, or similar programming languages and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with cybersecurity concepts, especially around privileged access management, threat detection, and risk mitigation.
• Experience working with large-scale datasets, data pipelines, and cloud environments.

Apply Now via MyCareerFuture.

Only shortlisted applicants will be contacted

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In Ref: SS – JO-27129

BGC Group Pte Ltd (Outsourcing)

EA 05C3053