Data Scientist - A26126 at Activate Interactive Pte Ltd

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

31 Jul, 26

Salary

0.0

Posted On

02 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Generative AI, Python, Machine Learning, LLM, RAG, SQL, AWS, Docker, Kubernetes, TypeScript, React, FastAPI, LangChain, Vector Databases, Data Wrangling

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 hiring for Data Scientist You will work in Singapore Government Agencies. This is a fixed term contract. The engagement is 1 year, renewable. Internal Code: A26126 This is a fixed term contract role. The engagement is 1 year, with option to extend to another 1 year What will you do? As a Data Scientist, you will use data science and Generative AI techniques to develop models and products that support a range of divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes. Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation) Data wrangling & analysis - preprocessing, cleaning and feature engineering Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots Developing backend APIs and services to support AI model deployment and integration Building frontend interfaces and user experiences for AI-powered applications Documenting changes to existing products Reviewing and implementing fixes for reported security vulnerabilities What are we looking for? Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines; Able to understand and apply a range of AI/ML techniques for regression and classification Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy ) Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG) Experience with context engineering techniques and prompt optimization strategies Proficient in git, SQL Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy) Proficient in modern programming languages (e.g. typescript, C#) Experience in cloud platform and services preferably in AWS Experience in Docker/Kubernetes Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript) Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers) Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS) Understanding of AI agent frameworks and multi-agent systems What do we offer in return? Fun working environment Employee Wellness Program To work in Singapore Government Agencies projects We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”) Why you'll love working with us? If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success. 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

You will develop AI and machine learning models to support various government divisions while partnering with stakeholders to translate business needs into technical solutions. Additionally, you will maintain deployed data products, build backend APIs, and create frontend interfaces for AI-powered applications.