S&C Global Network – AI – Merchandising Analytics – Consultant Full-time

Entity: – Accenture Strategy & Consulting

Team: – Strategy & Consulting – Global Network

Practice: – Marketing analytics

Title: – Analyst/Consultant

Job location: – Gurgaon

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.

Who we are looking for?

• Analyst with 2+ years & Consultant with 4+ years of work experience in consulting/analytics with a reputed organization.
• Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college
• Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP)
• Must have knowledge of building price/discount elasticity models and conduct non-linear optimization.
• Must have good knowledge of state space & mixed-effect modeling techniques and optimization algorithms and applicability to industry data.
• Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes
• Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark.
• Proficient in Excel, MS word, PowerPoint, etc.
• Strong client communication.

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

About Accenture
Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services-creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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