Job Opportunity at Insurity – Data Scientist Job Details 📍 Location: Noida, India 💼 Role: Data Scientist 🎓 Qualification: Bachelor’s / Master’s in a quantitative field 📅 Batch Eligible: 2023, 2024, 2025, 2026 👥 Experience: 1-3 years 💰 Salary: 3,00,000 - 6,00,000 (per annum) 🧾 Job Type: Full Time Overview Position: Data Scientist Company: Insurity Location: Noida, India Industry: Technology Job Type: Full Time Job Role & Responsibilities Design and implement machine learning models using Python. Conduct data analysis with pandas and NumPy to extract actionable insights. Deploy and manage models on AWS using SageMaker and EC2. Work closely with cross-functional teams to gather and define project requirements. Present findings and insights to stakeholders in a clear and concise manner. Required Skills Strong proficiency in Python and experience with scikit-learn. Hands-on experience with machine learning algorithms such as GBM, XGBoost, and Random Forest. Exceptional analytical and problem-solving skills. Familiarity with AWS services and cloud computing. Strong verbal and written communication skills. Eligibility Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, or Computer Science. 1-3 years of relevant experience in data science or a related field. Eligible Batches: 2023, 2024, 2025, 2026. Salary & Benefits Salary range: ₹300,000 - ₹600,000 per annum. Comprehensive benefits package for full-time employees. Access to professional development and training opportunities. How to Apply Visit the application URL provided. Submit your updated resume along with a cover letter. Complete any required assessments as part of the application process. Apply Here About the Company Insurity provides innovative technology solutions tailored for the insurance sector. The company is dedicated to enhancing operational efficiency and customer experience. Insurity values employee development and fosters a collaborative work environment. 🚀 Apply only via the official link. 👉 Apply Now Naukri ki baat, NexisGrow ke saath.