Data Scientist Product Development Secunderabad (India)

Must have skills required : Experience with AI/ML tools and frameworks Positive to have skills : NLP, AI/ML, R Python GRADATIM (One of Uplers' Clients) is Looking for: Data Scientist Product Development who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Seeking a technical Data Scientist to build, implement, and integrate advanced ML/AI solutions (model development, data analysis, AI features) into insurance products, collaborating across teams. Key Responsibilities : ML/Model Development: Design, build, optimize ML models (risk, fraud, claims, underwriting) using various algorithms; feature engineering, tuning, validation. Data Engineering: Process data, build/optimize ETL pipelines using cloud platforms (AWS/Azure/GCP). Algorithm Implementation: Develop/optimize AI/ML algorithms (incl. Deep Learning, RL) for production. Integration/Deployment: Deploy models (API/microservices), use MLOps, collaborate with DevOps/Eng. Research & Innovation: Stay updated on AI/ML trends, experiment with tools. Collaboration & Documentation: Work with PMs/Engineers, document processes, communicate findings. Required Education Masters or Bachelors in Data Science, Computer Science, Statistics, or related field. Required Technical Skills Programming: Python or R (solid proficiency) ML Libraries: TensorFlow, PyTorch, Scikit-learn Data: SQL, NoSQL, Data Pipelines (Spark, Hadoop, Airflow) Cloud ML: AWS SageMaker, Azure ML, or GCP Vertex AI MLOps: Familiarity (e.g., MLflow, Kubeflow, TensorBoard) Required Knowledge Model evaluation metrics, statistical analysis, optimization techniques. Preferred Skills Experience in NLP, Computer Vision, Deep Learning (for insurance). Familiarity with Graph Analytics (for fraud/network analysis). Knowledge of insurance processes or financial risk modeling. Must have skills required : Experience with AI/ML tools and frameworks Positive to have skills : NLP, AI/ML, R Python GRADATIM (One of Uplers' Clients) is Looking for: Data Scientist Product Development who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Seeking a technical Data Scientist to build, implement, and integrate advanced ML/AI solutions (model development, data analysis, AI features) into insurance products, collaborating across teams. Key Responsibilities : ML/Model Development: Design, build, optimize ML models (risk, fraud, claims, underwriting) using various algorithms; feature engineering, tuning, validation. Data Engineering: Process data, build/optimize ETL pipelines using cloud platforms (AWS/Azure/GCP). Algorithm Implementation: Develop/optimize AI/ML algorithms (incl. Deep Learning, RL) for production. Integration/Deployment: Deploy models (API/microservices), use MLOps, collaborate with DevOps/Eng. Research & Innovation: Stay updated on AI/ML trends, experiment with tools. Collaboration & Documentation: Work with PMs/Engineers, document processes, communicate findings. Required Education Masters or Bachelors in Data Science, Computer Science, Statistics, or related field. Required Technical Skills Programming: Python or R (solid proficiency) ML Libraries: TensorFlow, PyTorch, Scikit-learn Data: SQL, NoSQL, Data Pipelines (Spark, Hadoop, Airflow) Cloud ML: AWS SageMaker, Azure ML, or GCP Vertex AI MLOps: Familiarity (e.g., MLflow, Kubeflow, TensorBoard) Required Knowledge Model evaluation metrics, statistical analysis, optimization techniques. Preferred Skills Experience in NLP, Computer Vision, Deep Learning (for insurance). Familiarity with Graph Analytics (for fraud/network analysis). Knowledge of insurance processes or financial risk modeling.