#ACN I&P - GN - SONG - AI & Data - Sales - Data Science - Manager

Accenture PLC; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Accenture is seeking a Manager for the Marketing Analytics domain in Gurgaon. The role involves leading data-driven merchandizing initiatives, defining data requirements, and delivering pricing and promotion optimization across retail and CPG clients.

You will mentor a team of 10–15 and collaborate with global practitioners. You will leverage SQL, R, Python, and cloud platforms (Azure/AWS/GCP) to build ML models, pipelines, and scalable analytics solutions, ensuring high-performance outcomes for

Qualifications

• 5+ years of consulting/analytics experience in a reputed organization.
• Master's in Statistics/Econometrics/Economics or CS-related masters.
• Proficiency in SQL, R and Python; cloud platforms (Azure/AWS/GCP).
• Experience with price/discount elasticity models and non-linear optimization.
• Knowledge of state space & mixed-effect modeling and optimization algorithms.
• AI capability migration across cloud platforms and building scalable ML models.

Responsibilities

• Define data requirements for Data Driven Merchandizing capability.
• Clean, aggregate, analyze, and perform data quality analysis.
• Develop pricing/promotions/assortment optimization across retail/CPG clients.
• Design and implement elasticity estimation and non-linear optimization models.
• Develop AI/ML models in Azure ML stack and manage data pipelines.
• Create client-ready insights decks and mentor a team of 10–15 people.

Skills

Data analytics

Pricing optimization

Forecasting

SQL

Python

R

Cloud platforms

Time series

Education

Master's in Statistics/Econometrics/Economics

B.Tech/ M.Tech in CS or related

Tools

Azure

AWS

GCP

Snowflake

Python

R

SQL

Job description

Entity

• Accenture Strategy & Consulting Team:
• Strategy & Consulting – Global Network Practice:
• Marketing Analytics

Title

Manager

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.
• 5+ years of advanced experience in Data Driven Merchandizing which involves setting up Pricing/Promotions/Assortment Optimization capabilities across retail/CPG 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.
• Well versed with creating insights presentations and client ready decks.
• Should be able to mentor and guide a team of 10-15 people under him/her.
• 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.
• undefinedeconometric/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 and team management and planning of large-scale projects with risk assessment.

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.

Who we are looking for?

• 5+ 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 and 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.

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.