EY - GDS Consulting - D&A - Data Scientist - Senior

• A data scientist having good business understanding, capable of translating business requirement into analytical and OR problem.
• Lead and manage analytics projects for insurance clients from end-to-end, including problem definition, data acquisition, model development, validation, deployment and monitoring
• Work closely with clients and stakeholders to understand their business needs and objectives, and translate them into analytics problems and solutions
• Provide thought leadership and guidance on best practices and methodologies for insurance analytics
• Architect and implement scalable and robust analytics solutions using Python and next generation technologies such as cloud, big data, AI/ML, etc.
• Get involved in business development, client engagement, proposal writing and presentation of the solutions to senior stakeholders and clients.
• Present and communicate the results and insights of the analytics solutions to clients and stakeholders in a clear and effective manner
• Mentor and coach junior analysts and developers on the team, * Manage end to end project delivery- scoping, solutioning, designing, developing, testing, deploying or maintaining.
• Ensuring the solutions meet the client requirements and expectations
• Communicate effectively with the clients and internal stakeholders throughout the project
• Identify new opportunities and generate proposals for potential clients
• Present the solutions and showcase the value proposition to senior stakeholders

EY GDS is looking for a motivated, result oriented and quality focused experienced and skilled data scientist who has deep knowledge and expertise in developing insurance analytics solutions. The candidate will be responsible for delivering high-quality analytical solutions to our clients in the insurance industry, using advanced techniques and technologies., * 6-8 years of experience in analytics, with at least 5 years of experience in insurance analytics

• Strong expertise in the application of analytical and AI techniques, such as optimization, simulation, machine learning, deep learning, natural language processing, computer vision, etc.
• Knowledgeable with the underwriting and claims processes of various insurance products, and familiar with the specific problem areas and analytics models to be developed
• High expertise in Python and next generation technologies such as cloud, big data, AI/ML, etc.
• Proficient in Python and SQL programming
• Strong knowledge of Pandas and Numpy libraries.
• Excellent mathematical, statistical, and analytical skills.
• Understanding of end-to-end product development lifecycle in different environments such as dev, QA, and production.
• Git version control and Agile development experience.
• Experience in architecting and working on end-to-end analytics project lifecycle, including data acquisition, model development, validation, deployment and monitoring
• Ability to manage clients and stakeholders effectively and build strong relationships
• Ability to translate business problem into analytics problem and vice versa
• Excellent presentation and consulting skills

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