Data Scientist - ML / NLP / AI / Gen-AI

Role Overview:
We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team. The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and Generative AI, contributing to the growth and automation of our business processes.Key Responsibilities: Data Analysis & Visualization: Develop and manage data pipelines, ensuring data accuracy and integrity.
Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions. Extract and analyze complex data sets using SQL to generate actionable insights2 Machine Learning & AI Models: Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation. Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents. Implement and fine-tune Generative AI models and large language models (LLMs) for various business applications, including prompt engineering for automation tasks.3 Automation & Innovation: Use AI to streamline document verification, data extraction, and customer interaction processes. Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer-facing systems. Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real-world business challenges.Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Statistics, or related field. 4-7 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel. Expertise in building machine learning models and utilizing NLP techniques for text processing and automation. Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions. Strong problem-solving skills, with the ability to work independently and in teams. Excellent communication skills, with the ability to present complex data in a simple, actionable way to non-technical stakeholders.