- Location
- Bengaluru, BDC7C, India
- Type
- Full-time
- Department
- IT
- Experience
- 4+ years
- Education
- PhD
- Source
- Workday
Description
Management Level: - Ind & Func AI Decision Science Consultant – Level 9
Location: Gurgaon / Bangalore / Mumbai / Hyderabad
Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication
Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge: CPG, Retail
Job Summary
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.
Roles & Responsibilities:
- 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.
Client Relationship Development
- 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
Professional & Technical Skills:
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
Additional Information:
- 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.
Experience: 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.
Educational Qualification:Bachelor/Master’s degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
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.
