AI Data Scientist

Lancesoft Malaysia; Penang; On-site; MYR 120,000 - 180,000; Full time

Job summary

Lancesoft Malaysia is seeking an AI Data Scientist to drive AI-powered business transformation, analytics, automation, and intelligent data solutions. You will collaborate with IT, engineering, and business teams to develop AI solutions, analyze data, and automate processes.

Responsibilities include building dashboards, writing Python scripts, and deploying AI solutions using GenAI, LLMs, and RAG. Strong SQL, data modelling, and data integration skills are essential.

Qualifications

• Bachelor's Degree in Data Science, Computer Science, Software Engineering, AI, ML, Data Analytics, IS, or Computer Engineering
• Strong SQL and database knowledge
• Experience in data analytics, statistical analysis, and visualization
• Hands-on Power BI, DAX, and data modelling experience
• Knowledge of GenAI, LLMs, Agentic AI, Prompt Engineering, and RAG
• Experience integrating data from multiple enterprise systems
• Strong analytical, problem-solving, communication, and stakeholder management skills
• Ability to independently drive projects from concept to implementation

Responsibilities

• Analyze large datasets to identify trends, patterns, and insights.
• Build Power BI dashboards, reports, DAX measures, and data models.
• Develop Python scripts and automation solutions.
• Build AI solutions using Generative AI, LLMs, Agentic AI, Prompt Engineering, and RAG.
• Work with structured and unstructured enterprise data.
• Use Databricks for data processing, analytics, and AI development.
• Develop AI proof-of-concepts and production-ready solutions.
• Integrate data from multiple enterprise systems and applications.
• Support data quality, governance, validation, and AI performance optimization.
• Collaborate with technical and business stakeholders to identify AI/automation opportunities.
• Present analytical findings and AI solutions to technical and non-technical stakeholders.
• Bachelor's Degree requirement as stated in the ad.
• Strong SQL/database knowledge is a must.
• Hands-on BI and data modelling experience

Skills

Python

SQL

Analytical thinking

Communication

Stakeholder management

Problem solving

Independent project drive

Education

Bachelor's Degree in Data Science, Computer Science, Software Engineering, AI, Machine Learning, Data Analytics, Information Systems, or Computer Engineering

Tools

Power BI

DAX

Data Modelling

Databricks

GenAI

LLM

RAG

Agentic AI

Prompt Engineering

Job description

We are looking for an AI Data Scientist to drive AI-powered business transformation, advanced analytics, automation, and intelligent data solutions. The role involves working with technical, IT, engineering, and business teams to develop AI solutions, analyze complex datasets, and automate business processes.

Key Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable insights.
• Build Power BI dashboards, reports, DAX measures, and data models.
• Develop Python scripts and automation solutions.
• Build AI solutions using Generative AI, LLMs, Agentic AI, Prompt Engineering, and RAG.
• Work with structured and unstructured enterprise data.
• Use Databricks for data processing, analytics, and AI development.
• Develop AI proof-of-concepts and production-ready solutions.
• Integrate data from multiple enterprise systems and applications.
• Support data quality, governance, validation, and AI performance optimization.
• Collaborate with technical and business stakeholders to identify AI/automation opportunities.
• Present analytical findings and AI solutions to technical and non-technical stakeholders.
• Bachelor's Degree in Data Science, Computer Science, Software Engineering, AI, Machine Learning, Data Analytics, Information Systems, or Computer Engineering.
• Strong SQL and database knowledge.
• Experience in data analytics, statistical analysis, and visualization.
• Hands-on Power BI, DAX, and data modelling experience.
• Knowledge of GenAI, LLMs, Agentic AI, Prompt Engineering, and RAG.
• Experience integrating data from multiple enterprise systems.
• Strong analytical, problem-solving, communication, and stakeholder management skills.
• Ability to independently drive projects from concept to implementation.

Preferred Skills

• Azure AI Services, OpenAI, LangChain, or similar frameworks.
• Automated reporting and analytics.
• Customer support, operations, or BI data experience.
• Cloud platforms and modern data architecture.

Core Skills:

Python | SQL | Power BI | DAX | Data Modelling | Databricks | GenAI | LLM | RAG | Agentic AI | Prompt Engineering