Global Analytics & AI Strategy Consultant

Accenture Southeast Asia; Kuala Lumpur; On-site; MYR 120,000 - 170,000; Full time

Benefits offered by this job

Transparent career path

Training & coaching

Global network access to state-of-the‑

Community involvement

Job summary

Accenture Southeast Asia is seeking a data analytics professional to fetch and analyze diverse data, build ML-ready mockups, and develop GenAI workflows on Azure OpenAI. You will design end-to-end analytics pipelines and ground LLM insights using vector databases, while collaborating on innovative product development in people analytics.

You will apply NLP, ML, and statistical methods to deliver client-ready insights and communicate results to non-technical stakeholders, within a dynamic

Qualifications

• Bachelor’s or Master’s degree in Computer Engineering, Computational Science, Statistics, Operational Research, or similar field.
• Self-learners with conceptual clarity with fundamentals of statistics
• 3 to 5 years of experience in business data analysis and research related to Computational Science/ Data Engineering/ Statistical Model Development
• Data fluency and working knowledge of using LLMs and machine learning models
• Experience with Azure-based Data and AI services such as Azure OpenAI, Azure Translator, and Cosmos DB, including rate limits, retries, and cost awareness.
• Exposure to data engineering & hands-on experience with APIs. Writing SQL query would be an add on
• Design and operate multi-stage, idempotent analytics pipelines for multilingual organizational data.
• Perform advanced data wrangling and quality control using Python (pandas), including encoding normalization, deduplication, deterministic batching, and chunking/reassembly with provenance tracking.
• Generally curious & has a knack for solving ambiguous problems. Is able to think critically & out-of-the box.
• Fluency in English and ability to perform in a non-structured and dynamic environment

Responsibilities

• Fetching secondary data & research information from various sources and analyzing it to better understand organization related metrics
• Processing, cleansing, and verifying the integrity of data used for analysis
• Build out data mockups to test the prescriptive analytics hypothesis
• Working knowledge on development, deployment and prototyping platform & insight solutions to improve the product landscape
• Working with cloud platforms and services for GenAI development, such as Azure for using OpenAI models
• Design LLM orchestration workflows using Azure OpenAI with strict prompts, structured outputs, agent chaining, and cost control.
• Implement vector retrieval and grounding using vector DB to support LLM-based insights.
• Hands on experience with Machine Learning Algorithm, supervised and unsupervised modelling, classification, regression and NLP techniques such as sentiment analysis and entity detection
• Run numeric simulations leveraging statistic techniques such as self-organizing maps, boosting methods, support vector machines neural network etc.
• Perform custom analytics to deliver insight to clients and present results to non-technical stakeholders in a clear manner
• Understand framework design organizational concepts and linking analytics results with Behavioral Science or Industrial and Organizational Psychology related concepts
• Contribute to innovation and new product development in the people and organization analytics space

Skills

Python (pandas)

SQL

Azure OpenAI

LLM

NLP

Data analysis

Machine learning

Education

Bachelor’s or Master’s degree in Computer Engineering/Computational Science/Statistics/Operational Research

Tools

Cosmos DB

APIs

Job description

Accenture Southeast Asia is seeking a data analytics professional to fetch and analyze diverse data, build ML-ready mockups, and develop GenAI workflows on Azure OpenAI. You will design end-to-end analytics pipelines and ground LLM insights using vector databases, while collaborating on innovative product development in people analytics.

You will apply NLP, ML, and statistical methods to deliver client-ready insights and communicate results to non-technical stakeholders, within a dynamic