Kearney Value Realization Data Scientist / AI Expert (Value Assurance)

Kearney Value Realization: Data & Analytics - Data Scientist / AI Specialist Manager Data Scientist / AI Specialist Value Assurance Full-time Region: APAC Location: Gurgaon Job description This role is the technical authority for data science and AI across complex transformation programs. The incumbent translates business problems into robust analytical solutions, independently challenges models proposed by delivery partners, and ensures that machine learning, optimization and generative AI solutions are accurate, explainable, deployable and linked to measurable value. About Kearney Kearney is a leading global management consulting firm with more than 5,300 people working in more than 40 countries. We work with more than three-quarters of the Fortune Global 500, as well as with the most influential governmental and nonprofit organizations. Kearney is a partner-owned firm with a distinctive, collegial culture that transcends organizational and geographic boundariesand it shows. Regardless of location or rank, our consultants are down-to-earth, approachable, and have a shared passion for doing innovative client work that provides clear benefits to the organizations we work with in both the short and long term. About Value Realization: Data & Analytics India Kearney's Value Realization Data & Analytics team extends our traditional consulting capabilities beyond strategy into end-to-end execution advisory and solution implementation governance. Through our innovative "as-a-service" delivery model, we help clients execute complex transformation programs with value-driven governance, ensuring solutions are delivered on time, within budget, and at the highest quality. Our expertise spans the entire transformation lifecycle: Engineer / Co-shape: Market sounding, business blueprinting, solution design, process excellence, IT and business Architecture, implementation scoping & planning (PMI) Procure / Source: Cost modeling, RFI and RFP management, Vendor and SW selection, performance management, value driven contract management (e.g., master service agreements, SLAs) Construct / Assure: Governance/ PMO as a service, Chapters as a service (e.g., Product owners, Functional managers, Coaches), agile implementation By combining deep consulting expertise with execution excellence, we enable organizations to successfully deliver large-scale digital, data, and technology transformation programs. The Value Realization team delivers direct contribution comparable to Management Consulting through a top-quartile, market-aligned operating model. Our innovative "as-a-service" approach enables unique client offerings and recurring engagements, enhanced by platform services and productivity tools. We also provide an attractive employee proposition with dedicated roles, structured career paths, and a high-performance culture Key responsibilities Own the end-to-end analytical solution lifecycleTranslate business use cases into clear model objectives, baselines, success metrics, data requirements and experimentation plansDevelop or independently review statistical, machine learning, optimization, computer vision and generative AI models proposed by internal or external delivery teamsChallenge feature engineering, algorithm selection, training methodology, benchmark design and evaluation results to ensure technical robustnessDefine standards for model validation, explainability, bias, safety, human oversight, versioning, monitoring and retrainingWork with solution architects and data engineers to embed models into applications, workflows and decision processes with appropriate APIs, latency, security and operational controlsIdentify data-quality, model-performance and adoption risks early and drive corrective actions before they affect business outcomesCreate reusable analytical assets and mentor delivery teams while maintaining accountability for model quality and value realization Who you are After nearly 100 years, we know this business is fundamentally about making connectionsbetween facts, figures, insights, strategies, tools, technologies, and above all, people. Thats why we look for collaborative, insightful, and inquisitive problem-solvers who dont accept the first thing in front of them and who are always unapologetically themselves. We want to hear from you if you are: 8-10 years of hands-on experience in data science, machine learning or AI, including production deployment of models and AI productsDemonstrated experience solving manufacturing or industrial problems such as predictive maintenance, yield and quality improvement, process optimization, demand and supply planning, energy optimization or computer visionStrong practical capabil .