IN_Senior Associate_Data Science_ Data and Analytics_Advisory_Banaglore

Responsibilities 

•  

  • Work with structured, semi-structured, and unstructured data  

  • Perform data cleaning, transformation, and feature engineering  

  • Build and validate statistical and ML models  

  • Apply techniques such as:   

  • Regression, classification, clustering  

  • Time series forecasting  

  • Design and analyze experiments (A/B testing, hypothesis testing)  

  • Develop LLM-powered and agentic AI solutions  

  • Implement RAG, prompt engineering, and multi-agent workflows  

  • Integrate AI systems with enterprise data and APIs  

  • Write clean, production-quality code (Python, SQL)  

  • Communicate insights to business stakeholders  

  • Collaborating with cross-functional teams  

    

  🚀 Core Focus: Data Science + GenAI + Agentic AI  

  • Build LLM-powered applications and agentic workflows  

  • Develop reasoning, planning, and tool-using AI agents  

  • Integrate LLMs with enterprise data (structured + unstructured)  

  • Evaluate and improve AI outputs for accuracy, reliability, and safety  

  ✅ Equally Critical:  

  • Strong grounding in statistics, ML algorithms, and forecasting  

  • Ability to apply traditional ML approaches alongside GenAI  

  • Ensuring model robustness and business relevance through DS fundamentals  

  • Hands on experience in SQL including CTE .  

  • Strong experience in SQL, forecasting, and large-scale datasets  

  • Proven ability to deliver business impact  

    

  ✅ Required Qualifications  

   

  • Core DS & ML: Regression, Trees, Clustering, Forecasting & other ML & DL models  

  • Statistics: Hypothesis Testing, Experimentation (DOE)  

  • GenAI & Agentic AI: LLMs, RAG, Prompt Engineering  

  • Programming: Python, SQL  

  • Big Data: Spark/Hadoop (preferred)  

  • Tools: GitHub, PowerPoint  

    

  📈 Role Levels  

  • Decision Scientist (2–3 yrs): Supports modeling, analysis, and AI workflows  

  • Senior Decision Scientist (4–6 yrs): Owns end-to-end ML/AI solutions  

  • Lead Decision Scientist (7+ yrs): Drives strategy and high-impact initiatives  

   

Mandatory Skill sets: 

Preferred Skill sets: 

• Domain experience in retail, supply chain, demand forecasting, or CPG analytics. 

• Strong interest in emerging areas such as Generative AI or AI-driven forecasting automation. 

• Exposure to cloud ecosystems (AWS, Azure) including data engineering components like Glue, Data Factory, Lambda, Databricks, or Synapse.