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About the Role

Activate Interactive Pte Ltd is a leading technology consultancy in Singapore, Malaysia, and Indonesia, empowering clients with quality, cost-effective, and impactful end-to-end application development and cloud technology. The company aims to positively impact lives and the environment through technology, fostering an environment where employees can realize their full potential and drive innovation. This role is part of a Talent Pipeline Initiative, proactively connecting with talent for future opportunities within the next 3-6 months. As a Data Scientist, you will leverage data science and Generative AI to develop models and products supporting various divisions, partnering with stakeholders to translate business challenges into technical solutions and deliver AI/ML products with measurable outcomes.

Responsibilities

• Collaborate with business users to understand priorities and develop data science/Generative AI solutions to drive business value.
• Research and identify emerging AI/data science techniques for exploration and adoption (e.g., Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation).
• Perform data wrangling and analysis, including preprocessing, cleaning, and feature engineering.
• Support daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots.
• Develop backend APIs and services to support AI model deployment and integration.
• Build frontend interfaces and user experiences for AI-powered applications.
• Document changes to existing products.
• Review and implement fixes for reported security vulnerabilities.

Requirements

• 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 and 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 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.

Skills

• Data science techniques
• Generative AI techniques
• AI/ML techniques (regression)
• AI/ML techniques (classification)
• Python (pandas)
• Python (matplotlib)
• Python (scikit-learn)
• Python (XGBoost)
• Python (NLTK)
• Python (spaCy)
• LLM concepts (context windows)
• LLM concepts (embeddings)
• LLM concepts (chunking)
• LLM concepts (token management)
• LLM architectures (RAG)
• Context engineering
• Prompt optimization
• Git
• SQL
• Business Intelligence tools (Tableau)
• Business Intelligence tools (Qlik)
• Business Intelligence tools (MS PowerBI)
• Business Intelligence tools (Microstrategy)
• TypeScript
• C#
• AWS
• Docker
• Kubernetes
• Web frameworks
• Full-stack development
• Backend frameworks (FastAPI)
• Backend frameworks (Flask)
• Backend frameworks (Express.js)
• RESTful API development
• Frontend technologies (React)
• Frontend technologies (Vue.js)
• Frontend technologies (HTML/CSS)
• Frontend technologies (TypeScript)
• LLM frameworks (LangChain)
• LLM frameworks (LlamaIndex)
• LLM frameworks (Hugging Face Transformers)
• Vector databases (Pinecone)
• Vector databases (Chroma)
• Vector databases (FAISS)
• Embedding techniques
• AI agent frameworks
• Multi-agent systems
• Data wrangling
• Data analysis
• Preprocessing
• Cleaning
• Feature engineering

Location

• Singapore
• Malaysia
• Indonesia

Work Type

• Full-time
• Flexible work arrangement
• Flexi-place
• Flexi-time
• Flexi-load

Education Level

• Bachelor’s Degree in Computer Science
• Bachelor’s Degree in Computer Engineering
• Bachelor’s Degree in Machine Learning / Data Science / AI or related disciplines

Salary/Compensations

• Market competitive salary
• Variable performance bonus

Benefits

• Outpatient medical coverage
• Specialist medical coverage
• Customisable flexi benefits
• Flexi allowance
• Life insurance
• Health insurance
• Special occasions "red packet"
• CNY goodies
• Employee wellness initiatives
• Learning programmes
• Certification support
• Dedicated staff development budget
• Structured career pathways
• Structured competency framework

About the Company

• Activate Interactive Pte Ltd is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia.
• Empowers clients with quality, cost-effective, and impactful end-to-end application development, including mobile and web applications, and cloud technology.
• Committed to positively impacting lives and the environment through technology.
• Provides a conducive environment for employees to realize their full potential and drive innovation.

Equal Opportunity

• Activate Interactive Singapore is an equal opportunity employer.
• Employment decisions are based on merit, qualifications, and abilities.
• Does not discriminate based on race, colour, religion, gender, sexuality, national origin, age, disability, marital status, or any other characteristics protected by law.