Data Scientist

Qualifications Job Description: Minimum 4+ years of Experience required Design, develop, and deploy advanced AI/ML models , including GenAI and Large Language Model (LLM)-based solutions Develop Retrieval-Augmented Generation (RAG) systems integrating LLMs with enterprise data sources Design and execute AI/ML test frameworks to validate model accuracy, robustness, bias, and performance Excellent analytical and problem-solving skills Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks Should be able to host the models and make them Api convertible. Good communication and presentation skills in order to explain your work to people who don't understand the mechanics behind data analysis Responsibilities: Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment. Build AI algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Bring about Explainable and Responsible AI. Conduct research from which you'll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models across