Data Science and ML Manager

Role Overview: As a Data Science Manager at Dhurin, you will play a crucial role in leading and delivering high-impact AI/ML engagements across various domains within the financial services industry. Your main responsibilities will include driving the design, development, and deployment of scalable analytical solutions. Additionally, you will collaborate closely with clients and business stakeholders to transform complex business challenges into data-driven strategies. Your role will also involve mentoring teams and ensuring the successful delivery of end-to-end machine learning projects. Key Responsibilities: - Lead and deliver high-impact AI/ML engagements across domains - Drive the design, development, and deployment of scalable analytical solutions - Translate complex business challenges into data-driven strategies - Mentor teams and ensure successful delivery of end-to-end machine learning projects - Collaborate closely with clients and business stakeholders - Manage client-facing projects and lead end-to-end ML engagements - Utilize strong hands-on expertise in Python - Demonstrate a strong understanding of Machine Learning algorithms, model development, validation, deployment, and monitoring - Handle team management and stakeholder interactions effectively - Prioritize experience in the Financial Services industry as a plus Qualifications Required: - 5 to 10 years of relevant experience - Strong hands-on expertise in Python - Experience in leading end-to-end ML engagements and managing client-facing projects - Strong understanding of Machine Learning algorithms - Proven experience in model development, validation, deployment, and monitoring - Demonstrated experience in team management and stakeholder handling - Experience in the Financial Services industry is considered advantageous (Note: The additional details of the company were not explicitly mentioned in the provided job description) Role Overview: As a Data Science Manager at Dhurin, you will play a crucial role in leading and delivering high-impact AI/ML engagements across various domains within the financial services industry. Your main responsibilities will include driving the design, development, and deployment of scalable analytical solutions. Additionally, you will collaborate closely with clients and business stakeholders to transform complex business challenges into data-driven strategies. Your role will also involve mentoring teams and ensuring the successful delivery of end-to-end machine learning projects. Key Responsibilities: - Lead and deliver high-impact AI/ML engagements across domains - Drive the design, development, and deployment of scalable analytical solutions - Translate complex business challenges into data-driven strategies - Mentor teams and ensure successful delivery of end-to-end machine learning projects - Collaborate closely with clients and business stakeholders - Manage client-facing projects and lead end-to-end ML engagements - Utilize strong hands-on expertise in Python - Demonstrate a strong understanding of Machine Learning algorithms, model development, validation, deployment, and monitoring - Handle team management and stakeholder interactions effectively - Prioritize experience in the Financial Services industry as a plus Qualifications Required: - 5 to 10 years of relevant experience - Strong hands-on expertise in Python - Experience in leading end-to-end ML engagements and managing client-facing projects - Strong understanding of Machine Learning algorithms - Proven experience in model development, validation, deployment, and monitoring - Demonstrated experience in team management and stakeholder handling - Experience in the Financial Services industry is considered advantageous (Note: The additional details of the company were not explicitly mentioned in the provided job description)