At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Title: Senior data scientist (Insurance analytics)

Educational qualification: BTech/Masters/PhD

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.

Role Description:

•  Lead a team of AI/ML experts to deliver high-quality solutions for clients
•   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

Key Skills:

•  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

Key Responsibilities:

•  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 | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.