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S&C Global Network - AI - Retail - AI/Gen AI Retail Analyst

RoleSales
LevelMid Level
WorkOn-site
TypeFull-time
Posted2 months ago
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Benefits and perks

Learning Budget

Required skills

Python

Machine Learning

Deep Learning

NLP

Generative AI

Prompt Engineering

Job Title - S&C Global Network - AI - Retail - AI/Gen AI Retail Analyst Management Level: 11 - Analyst

Location: Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata

Must have skills:

  • Strong understanding of retail industry
  • Ability to work with large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques.
  • Proficiency in supervised and unsupervised learning algorithms
  • Proficiency in Python, with experience using libraries such as pandas, scikit-learn, and Num Py.
  • Exposure to deep learning frameworks like Tensor Flow, Py Torch, or Keras.
  • Basic understanding of LLMs, NLP, and prompt engineering.

Good to have skills:

  • Familiarity with SQL, NoSQL databases, and big data technologies like Spark for handling large-scale data.
  • Familiarity with transformer-based models such as BERT, GPT, and T5 for understanding and generating human language.
  • Experience with Generative Pre-trained Transformers (GPT)
  • Experience with Data Visualization Tools

Job Summary: We are looking for a highly motivated AI / GenAI Retail Analyst to join our data science and AI team. In this role, you will play a key part in building and implementing AI-driven solutions that enhance customer experience, streamline operations, and drive business outcomes in the retail sector. You'll work closely with cross-functional teams to extract insights from data and support the development of generative AI applications.

Roles & Responsibilities:

  • Leverage Retail Knowledge: Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) to design AI solutions that address critical retail business needs.
  • Design, develop, and implement AI algorithms (machine learning, deep learning, etc.) and generative models (e.g., GPT, GANs) tailored to the retail sector.
  • Focus on the creation of AI models that can help in wide range of use cases across – customer lifecycle, personalized customer experiences, optimize pricing, and product assortment.
  • Analyze and preprocess large datasets from various sources (sales data, customer data, inventory data) to build effective AI models.
  • Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams. For example, identifying cross-selling opportunities or optimizing product assortments.
  • Build dashboards, visualizations, and reports to communicate findings, model performance, and business impact to stakeholders.

Professional & Technical Skills:

  • Expertise in machine learning, natural language processing (NLP), and generative AI models.
  • Experience with platforms like Tensor Flow, Py Torch, and OpenAI technologies.
  • Knowledge of AI ethics and responsible AI practices.

Additional Information:

About Our Company | Accenture

Experience: Minimum 1-2 year(s) of relevant experience is required

Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field

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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About Accenture

Accenture

Accenture

Public

Accenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.

10,001+

Employees

Dublin

Headquarters

$139B

Valuation

Reviews

9 reviews

3.6

9 reviews

Work-life balance

2.8

Compensation

3.2

Culture

3.4

Career

3.7

Management

3.1

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Pros

Good career growth and learning opportunities

Great culture and work environment

Good compensation and benefits

Cons

Office politics and political environment

Long hours and stressful work

Low starting salary below market rate

Salary Ranges

21 data points

L2

L6

M3

M4

M5

M6

L3

L4

L5

L2 · Sales L2

0 reports

$112,372

total per year

Base

$44,949

Stock

$56,186

Bonus

$11,237

$78,660

$146,084

Interview experience

1 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

100%

Experience

Positive 0%

Neutral 0%

Negative 100%

Interview process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

Common questions

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge