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S&C Global Network - AI - CG&S - Manager Data Science

Accenture

S&C Global Network - AI - CG&S - Manager Data Science

Accenture

·

On-site

·

Full-time

·

3d ago

Job Description

Job Title: Industry & Function AI Decision Science Manager + S&C GN

Management Level: 07 -Manager

Location: Primary – Bengaluru, Secondary – Gurugram

Must-Have Skills: Consumer Goods & Services domain expertise**,AI & ML, Proficiency in Python, R, Py Spark, SQL,Experience in cloud platforms (Azure, AWS, GCP),**Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization.

Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2**,**Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting

Job Summary:

As a Decision Science Manager, you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization.

Roles & Responsibilities:

  • Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM).
  • Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions.
  • Design and implement AI-based strategies to deliver significant client benefits.
  • Employ structured problem-solving methodologies to address complex business challenges.
  • Lead data science initiatives, mentor team members, and contribute to thought leadership.
  • Foster strong client relationships and act as a key liaison for project delivery.
  • Build and deploy advanced analytics solutions using Accenture’s platforms and tools.
  • Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment.
  • Develop compelling data-driven narratives for stakeholder engagement.
  • Collaborate with internal teams to innovate, drive sales, and build new capabilities.
  • Drive insights in critical Consumer Goods domains such as:

Revenue Growth Management:

  • Pricing Analytics and Pricing Optimization
  • Promotion Analytics and Promotion Optimization
  • SKU Rationalization/ Portfolio Optimization
  • Price Pack Architecture
  • Decomposition Models
  • Time Series Forecasting

Professional & Technical Skills:

  • Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative).
  • Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management
  • Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc.
  • Deep and clear understanding of typical data sources used in RGM programs – POS, Syndicated, Shipment, Finance, Promotion Calendar, etc.
  • Strong programming skills in Python, R, Py Spark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker.
  • Deep knowledge of traditional and advanced machine learning techniques, including deep learning.
  • Experience with optimization techniques (linear, nonlinear, evolutionary methods).
  • Familiarity with visualization tools like Power BI, Tableau.
  • Experience with Large Language Models (LLMs) like ChatGPT, Llama 2.
  • Certifications in Data Science or related fields.

Additional Information:

  • The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector.
  • This position offers opportunities to lead innovative projects and collaborate with global teams.
  • Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes.

About Our Company | Accenture

Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector

Educational Qualification: Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.
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.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Business Operations L2

0 reports

$55,250

total / year

Base

$22,100

Stock

$27,625

Bonus

$5,525

$38,675

$71,825

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study