Manager-Data Science

2 weeks ago

Chennai India Cognizant Full time

Job Description Job Summary The Manager-Data Science will play a crucial role in driving data-driven decision-making processes within the organization. With a focus on leveraging machine learning and artificial intelligence the candidate will lead data science projects that enhance business operations. The role requires a strong foundation in Python and offers an opportunity to work in a hybrid model ensuring a balance between work and personal life. Responsibilities - Lead data science initiatives to support strategic decision-making and operational efficiency. - Oversee the development and implementation of machine learning models to solve complex business problems. - Collaborate with cross-functional teams to integrate AI solutions into existing systems. - Provide insights and recommendations based on data analysis to improve business processes. - Ensure the accuracy and reliability of data-driven models and algorithms. - Develop and maintain scalable data pipelines and infrastructure. - Monitor and evaluate the performance of data science projects to ensure alignment with business goals. - Mentor and guide junior data scientists in best practices and advanced techniques. - Stay updated with the latest trends and advancements in data science and AI. - Foster a culture of innovation and continuous improvement within the team. - Communicate findings and insights to stakeholders in a clear and concise manner. - Utilize Python for data manipulation analysis and visualization tasks. - Collaborate with investment banking teams to tailor data solutions to industry-specific needs. Qualifications - Possess a strong background in machine learning and artificial intelligence with practical experience. - Demonstrate proficiency in Python programming for data science applications. - Have experience in investment banking operations and brokerage as a nice-to-have skill. - Exhibit excellent problem-solving skills and the ability to work in a fast-paced environment. - Show strong communication skills to effectively convey technical concepts to non-technical stakeholders. - Display leadership qualities to guide and mentor team members. - Be adaptable to hybrid work models and manage time efficiently.

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