Data Scientist - CD008 at Activate Interactive Pte Ltd

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Anomaly Detection, Behavioral Analytics, Classification Models, Python, R, ML Libraries, Cybersecurity, Data Pipelines, Cloud Environments, Communication Skills, Leadership, Unsupervised Learning, Graph Analytics, Large Language Models

Industry

IT Services and IT Consulting

Description

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency. We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation. We are searching for our next team members to join our growing team. If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you. Co-Development Business Unit is looking for Data Scientist This is a fixed term contract role. The engagement is till January 2028. Internal Code: CD008 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 solutions. What will you do? 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. What are we looking for? Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. PhD preferred. More than 5 years of experience 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. Excellent communication skills with the ability to translate complex technical concepts into business terms. Leadership experience, with a track record of managing projects and mentoring team members. Knowledge of SIEM tools and their data outputs. Experience with unsupervised learning techniques and graph analytics, as well as expertise in prompt engineering for Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Strong problem-solving mindset with a passion for continuous learning. What do we offer in return? Fun working environment Employee Wellness Program Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at careers@activate.sg Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law. Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd. Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes. Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Responsibilities

The Data Scientist will engage with stakeholders to understand challenges related to unauthorized privileged access and develop machine learning models to detect security threats. They will also collaborate with engineering teams to operationalize detection models and mentor team members.