S&C Global Network - AI - Song -Agentic Sales- Consultant
Quick Summary
Working through the phases of project Define data
As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
Responsibilities
~1 min read- →Working through the phases of project
- →Define data requirements for Data Driven Growth Analytics capability.
- →Clean, aggregate, analyze, interpret data, and carry out data quality analysis.
- →Knowledge of market sizing, lift ratios estimation.
- →Experience in working with non-linear optimization techniques.
- →Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability.
- →Hands on experience in state space modeling and mixed effect regression.
- →Development of AI/ML models in Azure ML tech stack.
- →Develop and Manage data pipelines.
- →Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models.
- →Working knowledge of resource optimization
- →Working knowledge of NLP techniques, Large language models.
- →Manage client relationships and expectations and communicate insights and recommendations effectively.
- →Capability building and thought leadership.
- →Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials.
- →Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress.
- Manage client expectations and develop trusted relationships
- Maintain strong communication with key stakeholders
- Act as a strategic advisor to clients on their data-driven marketing decisions
Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.
3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.
Strong understanding of econometric/statistical modeling: regression analysis, hypothesis testing, multivariate analysis, time series, optimization
- Expertise in Azure ML, SQL, R, Python, PySpark
- Proficiency in non-linear optimization and resource optimization
- Familiarity with design patterns for deploying and maintaining ML models in production
- Strong command over marketing data and business processes in Retail and CPG
- Hands-on with tools like Excel, Word, PowerPoint for communication and documentation
- Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record
- Knowledge of CPG, Retail industry.
- Proficient in Excel, MS word, PowerPoint, etc.
- Strong client communication.
Requirements
~1 min readVisit us at www.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
Listing Details
- First seen
- September 27, 2026
- Last seen
- September 27, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 27, 2026
Signal breakdown
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