Lead AI and data science initiatives that support business priorities through applied analytics, model development, and data-driven problem solving. This role focuses on translating business needs into analytical approaches, developing scalable solutions, and partnering with cross-functional stakeholders to drive measurable outcomes. The Specialist Assistant Manager, AI and Data Science will contribute across the lifecycle of data science work, from problem framing and data analysis to model deployment support and performance monitoring.
Work you'll do
As a Specialist Assistant Manager, AI and Data Science on the AI and data science team, you will be responsible for…
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Designing and developing artificial intelligence and data science solutions aligned to business and operational requirements
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Analyzing structured and unstructured data to identify trends, patterns, and opportunities for decision-making
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Building, validating, and refining statistical, machine learning, and predictive models using approved tools and methods
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Partnering with business, technology, and analytics stakeholders to define use cases, success metrics, and implementation requirements
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Preparing analysis outputs, model results, and documentation to support governance, operationalization, and stakeholder adoption
The team
The team supports business priorities through artificial intelligence, advanced analytics, and data science solutions. It works across functions to frame business problems, develop analytical approaches, and deliver insights and models that support decision-making. The team also collaborates with technology and business stakeholders to help scale solutions and improve adoption across the organization.
Location: Hyderabad
Shift Timings: 12:00 PM to 09:00 PM / 08:30 AM to 05:30 PM
Qualifications
Required:
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Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
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6+ years of experience in data science, machine learning, statistical modeling, or artificial intelligence
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Experience developing models using Python, R, or SQL
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Experience working with machine learning, statistical analysis, and data visualization tools
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Experience translating business requirements into analytical approaches and technical deliverables
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Experience preparing documentation for models, analysis, and implementation activities
Preferred:
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Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
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Experience with cloud-based analytics or machine learning platforms
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Experience supporting deployment or operationalization of machine learning models
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Experience working with large-scale structured and unstructured datasets
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Experience in stakeholder-facing analytics or consulting environments
