Kotak Life
Location
Mumbai | India
Job description
Role:
Data Science Lead Job Title: Vice President Work Experience: 10 years + Education: BE / MCA Department: Data Science Work location: Goregaon (East), Mumbai Key Responsibilities Leadership in Model Development: Spearhead the development of advanced machine learning and predictive modeling strategies from scratch, enhancing business decision-making and customer experience. Lead and mentor a team of talented data scientists and analysts in the design, construction, and deployment of diverse ML models. Foster cross-departmental collaboration to seamlessly integrate ML and predictive analytics into our core business processes. Innovation and Strategic Planning: Keep abreast of the latest advancements in data science, machine learning, and insurtech, ensuring our strategies remain at the forefront of the industry. Actively contribute to the strategic planning of the company’s data and analytics initiatives. Cultivate a data-driven culture within the organization, advocating for the power of analytics in every facet of our business. Technical Expertise and Project Management: Offer expert guidance on a wide spectrum of statistical analysis, machine learning algorithms, and data modeling techniques. Guarantee the accuracy, reliability, and integrity of our analytical solutions. Efficiently manage and prioritize multiple projects, ensuring alignment with the company’s strategic goals and deadlines. Stakeholder Engagement and Communication: Provide direct and insightful reports to the Chief Data and Analytics Officer on project progress and strategic developments. Collaborate closely with senior management to align data science solutions with business objectives. Clearly articulate complex data and ML concepts to a non-technical audience, ensuring transparency and understanding across the organization. Core Skills & Capabilities: Machine Learning: Demonstrable expertise in a specific area of machine learning. Coding Proficiency: Exceptional skills in procedural languages such as Python, with practical experience in machine learning implementations. Familiarity with command-line tools. Advanced Tool Knowledge: Experience with Hadoop ecosystem tools, large-scale model deployment, and deep learning frameworks is highly advantageous.Job tags
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