We are seeking passionate and competent individuals to join its dynamic and industry-aligned academic ecosystem as Assistant Professor – Data Science . Eligibility Criteria: Educational Qualification: Master’s Degree/Ph. D. in Mathematics/ Statistics, or a related discipline. Experience: Minimum 2–3 years of teaching or relevant industry experience. Research publications in peer-reviewed journals will be an added advantage. Practical exposure to data-driven industry projects is desirable. Key Responsibilities: Deliver high-quality teaching in core and advanced areas of Data Science, including: Machine Learning, Artificial Intelligence Data Analytics, Big Data Technologies Predictive Modeling, Deep Learning Data Visualization Tools and Techniques Mentor students on industry-relevant skills and project work. Engage in research, publish in reputed journals, and participate in academic development. Collaborate with industry partners to enhance practical learning and internship opportunities. Contribute to curriculum development, accreditation efforts, and university policy initiatives. Required Skills: Strong technical foundation in Data Science tools, programming languages (e.g., Python, R), and platforms. Ability to blend academic rigor with practical application. Excellent communication and mentoring skills. Familiarity with industry trends and ability to translate them into learning outcomes. Join Us: We welcome passionate academicians and experienced professionals who are keen to shape future data scientists and contribute to an innovation-driven academic culture. How to Apply: Interested candidates may send their updated CV
Job Title
Assistant professor - data science