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

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Quick Summary

Key Responsibilities

Leverage Retail Knowledge: Utilize your deep understanding of the retail industry (merchandising, customer behavior,

Requirements Summary

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML,

Technical Tools

OtherAnalyst

Requirements

~2 min read

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 NumPy.
Exposure to deep learning frameworks like TensorFlow, PyTorch, or Keras.
Basic understanding of LLMs, NLP, and prompt engineering.

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

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

Responsibilities

~1 min read

→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.

About Our Company | Accenture

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.