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

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Define data requirements for the Data Driven Merchandizing capability

  • Clean, aggregate and analyze data, including data quality checks

  • Develop AI/ML models in the Azure ML stack

  • Develop and manage data pipelines and Snowflake data layers

  • Create insights presentations and client-ready decks

From the employer’s posting
Define data requirements for Data Driven Merchandizing capability.
Clean, aggregate, analyze, interpret data, and carry out data quality analysis.
Development of AI/ML models in Azure ML tech stack.
Develop and Manage data pipelines.
Well versed with creating insights presentations and client ready decks.
Education & alternatives
- 3+ 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)

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.

In the employer’s words · Read in context

Apply at Accenture

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 2026today
Recorded sightings
1

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How this job compares

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From 9,971 similar postings that came down. Coming down is not always a hire.

Accenture is hiring

202 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 11% of open jobs were reposted
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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • Excel
  • GCP
  • Snowflake
  • PySpark
Where the posting names them
- 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 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.
o Hands on experience in state space modeling and mixed effect regression. o Development of AI/ML models in Azure ML tech stack. o Develop and Manage data pipelines.
- 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.
o Develop and Manage data pipelines. o Develop and Manage Data within different layers of Snowflake environment. o 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.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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

o Define data requirements for Data Driven Merchandizing capability.

o Clean, aggregate, analyze, interpret data, and carry out data quality analysis.

o 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.

o Knowledge of price/discount elasticity estimation.

o Experience in working with non-linear optimization techniques.

o Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability.

o Hands on experience in state space modeling and mixed effect regression.

o Development of AI/ML models in Azure ML tech stack.

o Develop and Manage data pipelines.

o Develop and Manage Data within different layers of Snowflake environment.

o 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.

o 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?

  • 3+ 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.

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.

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Bengaluru

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