Senior Data Scientist - AI

This role exists as part of a team that works with a business in identifying and executing high-impact AI and Data initiatives to create sustainable business impact. This role is expected to coordinate with different stakeholders within and sometimes outside ABG to develop leading-edge AI and Data-led solutions relevant to the defined business problem and to execute these initiatives up to the last mile, drive adoption, and help the business realize the impact of the same. In the spirit of long-term sustenance of the initiatives, the role also involves driving the transfer of the solution to the business teams post completion, executing relevant AI & Data skillset building initiatives and leading the resolution of challenges faced throughout the journey. Responsibilities: AI and Data Experimentation: Explore cutting-edge AI solutions and innovations around at least one of the key research areas in data science to establish their applicability and drive their experimentation as relevant to the business.Partnerships: Explore avenues to partner with external startups and vendors and drive the governance of the relationship for either novel capability or efficient execution of the data and AI initiatives.Domain understanding: Leverage and enhance business process understanding, domain knowledge, and industry research to provide better context and relevance to the data science solution built for solving the identified business problem.Business problem solving through Data and AI: Execute AI and Data initiatives that span one ABG business with specific accountability of the Lead being to define business problems with detailed factors and hypotheses, translate the business problem into an analytics problem, develop detailed solution design accounting for user needs, and establish proof of value and user acceptance of the solution.Technical problem solving: Leverage the expertise in data and AI to create an exhaustive technical roadmap and guide the team in development and execution of the same, the specific steps being data acquisition and processing, experimenting and developing data science and AI techniques that are most accurate and relevant, validating and publishing results, developing a front-end application (if any) and ultimately getting the stakeholder buy-in on the same.Project Governance: Own the entire governance of the initiatives while adhering to all technical and functional standards as well as best practices as defined in the team; create forums for reviews and highlight and resolve deviations and ensure the highest standard of documentation for the same so as to ensure quality and timeliness of solution delivery.Stakeholder management: Develop professional relationships with mid-level management in the business; drive meetings with relevant stakeholders by establishing proper channels; ensure clear communication through the required collaterals; and guide and mentor the team on the same in order to ensure seamlessness and buy-in on all the initiatives.Realizing business value: Steer the quantification of business impact of Data and AI initiatives by creating relevant frameworks, communicating through proper channels and aligning with the relevant stakeholders along with identifying reusability of the solutions across another business or business domain.Business KRA Monetary: Revenue growth or cost reduction through data and AI initiatives in the business.Non-Monetary: Data and AI driven improvement in KPIs relevant to a particular business or initiative such as quality, CX, stability, risk, and efficiency.Decision-making and augmentation: Decisions are replaced or augmented with the use of data and AI.Decisions improved through the use of data and AI capabilities.Develop some level of data and AI capability in the business.Drive, through examples, the data-driven decision-making culture.Explore new techniques and technologies and establish their applicability.Conduct experiments using the latest AI and Data Science research in the relevant business. This role exists as part of a team that works with a business in identifying and executing high-impact AI and Data initiatives to create sustainable business impact. This role is expected to coordinate with different stakeholders within and sometimes outside ABG to develop leading-edge AI and Data-led solutions relevant to the defined business problem and to execute these initiatives up to the last mile, drive adoption, and help the business realize the impact of the same. In the spirit of long-term sustenance of the initiatives, the role also involves driving the transfer of the solution to the business teams post completion, executing relevant AI & Data skillset building initiatives and leading the resolution of challenges faced throughout the journey. Responsibilities: AI and Data Experimentation: Explore cutting-edge AI solutions and innovations around at least one of the key research areas in data science to establish their applicabi