AI Data Scientist

Lancesoft Malaysia

Penang

On-site

MYR 90,000 - 130,000

Full time

25 hours ago
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Job summary

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

Responsibilities include building Power BI dashboards, reports, DAX measures, data models; developing Python scripts; creating AI solutions using GenAI, LLMs, and RAG; integrating data from multiple systems;

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Software Engineering, AI, ML, Data Analytics, IS, or Computer Engineering.
  • Strong SQL and database knowledge.
  • 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.

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 GenAI, 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 proofs-of-concept and production-ready solutions.
  • Collaborate with stakeholders to identify AI/automation opportunities.
  • Present analytical findings and AI solutions to technical and non-technical stakeholders.

Skills

Analytical thinking
Cross-functional collaboration
Problem solving
Communication
Project leadership

Education

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

Tools

Python
Power BI
Databricks
SQL

Job description

We are looking for an AI Data Analyst 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

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