I&P - GN - SONG - AI & Data - Sales - Data Science - Consultant

Accenture PLC; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Accenture Bengaluru is seeking an experienced Data Driven Merchandizing Specialist to shape analytics for pricing, promotions and assortment optimization. You will analyze data, build ML models, and develop data pipelines across Snowflake environments, enabling scalable merch AI capabilities for retail clients.

The role requires strong communication, mentoring skills, and hands-on experience with Azure ML and cloud-based pipelines.

Qualifications

• 3+ years of experience in Data Driven Merchandizing across retail clients.
• Knowledge of price/discount elasticity estimation.
• Experience in non-linear optimization techniques.
• Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics for merch AI.
• Hands on experience in state space modeling and mixed effects regression.
• Development of AI/ML models using Azure ML tech stack.
• Develop and manage data pipelines.
• Manage data within Snowflake environments.
• Awareness of scalable ML design patterns and cloud deployment for elasticity models.
• Working knowledge of Price/Promo optimization.
• Strong communication skills.
• Ability to mentor junior resources.
• Analytical, systematic approach to data problems and task management.

Responsibilities

• Work through project phases and define data requirements for Data Driven Merchandizing.
• Clean, aggregate, analyze, and interpret data and perform data quality analysis.
• Collaborate with team and clients, deliver insights and client-ready decks.
• Mentor junior resources and communicate clearly with stakeholders.

Skills

Data driven merchandising

Pricing optimization

Elasticity estimation

Non-linear optimization

Time series analytics

Store clustering

Descriptive analytics

State space modeling

Mixed effects regression

Azure ML

Snowflake

Data pipelines

ML deployment

Cloud platforms

Communication skills

Mentoring

Tools

Azure ML

Snowflake

Job description

About S&C - Global Network:

Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition.

WHAT’S IN IT FOR YOU?

• As part of our Analytics practice, you will join a worldwide network of over 20,000 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.
• Accenture will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications.
• In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.

What you would do in this role

• Working through the phases of project
• Define data requirements for Data Driven Merchandizing capability.
• Clean, aggregate, analyze, interpret data, and carry out data quality analysis.
• 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.
• Knowledge of price/discount elasticity 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.
• Develop and Manage Data within different layers of Snowflake environment.
• 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 Price/Promo optimization
• Working along with the team and consultant/manager
• Well versed with creating insights presentations and client ready decks.
• Should be able to mentor and guide junior resources.
• Should have strong communication skills.
• 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.
• Basic level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress.