Jobs
Benefits & Perks
•Learning Budget
•Career growth and leadership exposure
•Learning
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
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Reviews
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Work Life Balance
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Culture
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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
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
$25,532
Stock
$31,915
Bonus
$6,383
$44,681
$82,979
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
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