Data Scientist

Job Description

Job Title: Data Scientist Key Skills: Machine Learning, Data Science, SQL, Python, NLP, AI Artificial intelligence, Deep Learning. Roles and Responsibilities: Work with large-scale data sets to extract actionable insights and deliver impactful business solutions. Utilize advanced quantitative techniques, statistical modeling, and machine learning to support key initiatives across the organization. Contribute to the development of capabilities in Big Data, Machine Learning, Digital, and FinTech domains to address complex business challenges. Collaborate with cross-functional teams to identify analytical opportunities and build scalable solutions. Design and implement predictive models and algorithms to forecast trends and detect patterns. Leverage deep learning techniques and distributed machine learning systems where applicable. Deliver high-quality analysis and present findings to senior stakeholders in a clear and actionable manner. Continuously evaluate new data science tools, techniques, and technologies to ensure innovation and efficiency. Experience Requirement: 3-5 years of hands-on experience in data science, machine learning, and advanced analytics. Background in leading global academic institutions, corporate innovation labs, or consulting analytics roles preferred. Proven experience in applying large-scale machine learning and deep learning models. Strong expertise in at least three of the following areas: Python & PySpark Predictive Modeling using Machine Learning Time Series Forecasting Pattern Mining/Detection Deep Learning Algorithms Exposure to distributed computing frameworks and systems for machine learning. Education: Any Post Graduation, Any Graduation.