Retail Analytics; Data Science Lead​/AVP

Position: Retail Analytics (Data Science) Lead/AVP
Location: Bengaluru

Skill

Required:

Data Science, Demand Planning and Retails Analytics (mandatory)

Job Title:

Manager (AVP equivalent)

Management Level: 7

Experience

Required:

8+ years

Job location:

Bangalore

About the role:

You will be part of Accenture Operations global data science group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics and data science. You will have the unique opportunity to be exposed to a wide diversity of exciting business problems and data and create machine learning methods and data science solutions to deliver the next-generation Accenture Operations offerings.

The objectives of the team include but are not limited to:

- Conceptualizing, designing and developing innovative machine learning / data science solutions for a wide range of Accenture Operations business towers:
Retail, Supply Chain, Customer Analytics, Finance & Accounting, Procurement, Cloud, Infrastructure etc.,
- Integrating the outcomes as real-time analytics to elevate the Accenture’s ability to create value for clients in areas and through means not immediately apparent to clients

Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. They also leverage the vast global network of Accenture to collaborate with Accenture Tech Labs and Accenture Open Innovation for creating solutions.

Basic Qualifications:

- Education:

Masters in Statistics, Economics, Business Analytics/Data Science or Mathematics, Operations Research/ Post graduate certification in Data Science/Business Analytics
- Experience working on Oracle Retail Demand Forecasting (RDF)
- Advanced knowledge and working experience in MS Excel and PPT
- Strong programming experience – Python
- Data visualization experience
- Power BI
- Ability to understand, manage and navigate large datasets
- Proficient in Time series Forecasting
- Experience in Consumer Retail Supply Chain Demand Forecasting, Time Series forecasting, Location Planning, Assortment Planning, Demand Planning & Retail Analytics
- Strong communication and articulation skills in English
- 8-14 years professional experience working on Retail Analytics and Data science
- 3-4 years of working experience on Retail Demand Forecasting & Planning
- Experience managing junior team members & handling stakeholders independently

Desired

Skills and Experience:

- Knowledge of other ML techniques like – Classification, Regression, Clustering, Neural Networks, Dimensionality Reduction Techniques, Ensemble Modelling (random forest, boosted tree, etc), Natural Language Processing, Forecasting
- Ability to think creatively to solve real world business problems
- Ability to work in a global collaborative team environment