Data Scientist

• Proficiency in Python or R

• Strong knowledge of SQL

• Hands-on experience with Machine Learning techniques, including:

  • Regression

  • Classification

  • Clustering

  • Forecasting

• Practical exposure to LLMs / Generative AI, including:

  • Prompt engineering

  • Embeddings

  • Retrieval-Augmented Generation (RAG) concepts

• Experience in Dashboard Creation using:

  • Power BI or Tableau

• Strong understanding of Data Modelling & Data Transformation

Key Responsibilities

• Develop and deploy machine learning models for real-world applications

• Work on LLM-based solutions including prompt optimization and RAG pipelines

• Perform data extraction, transformation, and analysis using SQL and Python/R

• Build insightful dashboards and visualizations for business stakeholders

• Collaborate with cross-functional teams to deliver scalable data solutions

• Ensure data quality, integrity, and efficient data modeling practices

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, or GCP)

• Familiarity with MLOps and model deployment pipelines

• Strong problem-solving and communication skills