Data Scientist

Role Overview: As a Data Scientist at GlobalLogic, you will be responsible for analyzing large financial datasets to identify trends and patterns, developing and deploying machine learning models for predictive analytics and decision support, working with product teams to understand requirements and develop data-driven solutions, translating business requirements into machine learning tasks, creating visualizations to communicate model results to non-technical stakeholders, and staying up-to-date with emerging AI/ML techniques and tools. Key Responsibilities: - Analyze large financial datasets to identify trends and patterns. - Develop and deploy machine learning models for predictive analytics and decision support. - Work with product teams to understand requirements and develop data-driven solutions. - Translate business requirements into machine learning tasks. - Create visualizations to communicate model results to non-technical stakeholders. - Stay up-to-date with emerging AI/ML techniques and tools. Qualification Required: - 6+ years of experience in data science, preferably in the finance industry. - Strong proficiency in Python, R, SQL, and machine learning libraries (e.g., Scikit-learn, TensorFlow). - Experience in statistical analysis, data modeling, and deep learning. - Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP). - Strong communication skills for presenting findings to stakeholders. At GlobalLogic, you will experience a culture of caring, continuous learning and development opportunities, interesting and meaningful work on impactful projects, balance and flexibility in work-life integration, and be part of a high-trust organization. Join GlobalLogic, a trusted digital engineering partner, and contribute to transforming businesses and redefining industries through intelligent products, platforms, and services.,