Assistant Professor/Associate Professor- Business Analytics and Artificial Intelligence


Savanna HR


Academic Research


7 months ago

8-15 Yrs


Bengaluru/Bangalore


Description

Job Description

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Position: Faculty – Business Analytics & Artificial Intelligence

Department: School of Business / Management

Openings: 2 Positions

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Specialization Areas

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Candidates with expertise in the following domains will be preferred:

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Business Analytics

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Artificial Intelligence for Business

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Machine Learning Applications in Management

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Data Analytics & Data Visualization

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Predictive & Prescriptive Analytics

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Big Data Analytics

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AI-driven Decision Making

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Generative AI Applications in Business

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Key Responsibilities

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Teach undergraduate, postgraduate, and executive courses in Business Analytics and Artificial Intelligence.

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Design and deliver engaging curriculum incorporating industry tools, case studies, and practical applications.

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Guide students in analytics projects, capstone projects, and research work.

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Conduct research and publish in reputed peer-reviewed journals.

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Develop industry collaborations for analytics projects, internships, and consulting assignments.

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Contribute to curriculum development aligned with emerging technologies in AI and analytics.

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Participate in academic administration, accreditation activities, and departmental initiatives.

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Mentor students for competitions, research activities, and career development in analytics and AI domains.

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Qualification

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Ph.D. in Business Analytics / Data Science / Artificial Intelligence / Computer Science / Management or related discipline from a recognized university.

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Strong academic background with research publications in reputed journals preferred.

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Qualification and experience as per UGC/AICTE norms.

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Experience

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Assistant Professor: 0–5 years of teaching/research/industry experience.

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Associate Professor: Minimum 8 years of teaching/research experience with strong publications.

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Professor: Minimum 10–15 years of academic/research experience with proven leadership.

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Skills & Competencies

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Strong knowledge of analytics and AI tools such as Python, R, SQL, Tableau, Power BI, or similar platforms.

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Ability to integrate real-world data and industry case studies into teaching.

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Research orientation in AI and analytics applications in business.

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Excellent communication, mentoring, and collaboration skills.


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