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 boundaries—and 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 lifecycle
• Translate business use cases into clear model objectives, baselines, success metrics, data requirements and experimentation plans
• Develop or independently review statistical, machine learning, optimization, computer vision and generative AI models proposed by internal or external delivery teams
• Challenge feature engineering, algorithm selection, training methodology, benchmark design and evaluation results to ensure technical robustness
• Define standards for model validation, explainability, bias, safety, human oversight, versioning, monitoring and retraining
• Work with solution architects and data engineers to embed models into applications, workflows and decision processes with appropriate APIs, latency, security and operational controls
• Identify data-quality, model-performance and adoption risks early and drive corrective actions before they affect business outcomes
• Create 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 connections—between facts, figures, insights, strategies, tools, technologies, and above all, people. That’s why we look for collaborative, insightful, and inquisitive problem-solvers who don’t 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 products
• Demonstrated experience solving manufacturing or industrial problems such as predictive maintenance, yield and quality improvement, process optimization, demand and supply planning, energy optimization or computer vision
• Strong practical capabil