Management Consultant (S&C GN Talent & Organization - Intelligence and Insights Platform Automation Engineer)
工作描述
Looking for a rewarding career with global impact? Then consider Accenture’s rapidly expanding Global Network with approximately 9,000 Management Consulting and Strategy professionals (we like to call them rock stars!) based in a network of prominent locations around the world.
Global Network Professionals:
Thrive in a fast-paced, inclusive environment with countless opportunities to learn and grow
Collaborate with diverse organizations on groundbreaking projects
Enjoy the camaraderie of working together towards a common goal and forming lasting friendships
If this sounds like the right team for you, we invite you to read on.
Key Responsibilities:
Although no two days at Accenture are the same, as Intelligence and Insights Platform Automation Engineer in our Talent & Organization (T&O) practice, a typical day might include: This role operates at the intersection of Data Science, Software Engineering, Cloud Platform Engineering, and Responsible AI governance, and goes beyond pure LLM feature development.
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
职位要求
Job 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
Your Winning Qualities:
Natural leader; easily establishes relationships with clients and colleagues
Team Player; enjoys the intellectual stimulation of collaborating with colleagues around the world
Determined; appreciates a challenge and overcoming obstacles to achieve results
Digitally savvy; continuous learner
Our Commitment to You – You will enjoy:
A transparent career path designed for rapid career progression
A supportive culture that is serious about training, coaching and continuous learning
A global network where only state-of-the-art tools and technologies will do
A bighearted environment with opportunities to give back to our local communities
