Data Scientist

Role Overview: You will be responsible for analyzing large financial datasets to identify trends and patterns, developing and deploying machine learning models for predictive analytics, and working with product teams to develop data-driven solutions. Additionally, you will translate business requirements into machine learning tasks, create visualizations to communicate model results to non-technical stakeholders, and stay updated 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. About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner for the world's largest and most innovative companies. Since 2000, GlobalLogic has been driving the digital revolution, creating innovative and widely used digital products and experiences. The company collaborates with clients to transform businesses and redefine industries through intelligent products, platforms, and services. At GlobalLogic, a culture of caring is prioritized, focusing on inclusivity, continuous learning and development, interesting and meaningful work, balance and flexibility, and maintaining a high-trust organization. Joining GlobalLogic means becoming part of a safe, reliable, and ethical global company where integrity and trust are fundamental values.,