Retail Analyst

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

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 NumPy.
• Exposure to deep learning frameworks like TensorFlow, PyTorch, 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 TensorFlow, PyTorch, and OpenAI technologies.
• Knowledge of AI ethics and responsible AI practices.

Additional Information:

About Our Company | Accenture