Visiting Faculty – Indian Knowledge Systems (IKS) Location: Pune (On-campus Garware College) Position Type: Visiting / Part-Time Target Audience: First-Year Undergraduate Students (Data Science) Course Duration: One Semester – 30 Hours (as per NEP 2020 UG framework) About the Course: The course “Introduction to Indian Knowledge Systems (IKS)” aims to give students a broad and inspiring understanding of India's intellectual traditions across fields such as philosophy, science, mathematics, medicine, language, arts, architecture, education, and spirituality . It fosters respect for indigenous knowledge, cultural identity, and relevance of traditional systems in the modern world. Topics to Be Covered (Sample): Vedas, Upanishads & Six Schools of Indian Philosophy Indian Linguistics: Panini and Sanskrit Ancient Indian Education (Gurukul System) Indian Mathematics, Astronomy, and Medicine (Ayurveda) Indian Architecture, Art, Music, and Dance Trade, Commerce, Arthashastra Influence of Indian Thought on Law, Science, and Global Philosophy Who We Are Looking For: Scholars, educators, or passionate practitioners with strong familiarity in one or more domains of Indian knowledge (classical studies, philosophy, language, science, or arts). Fluent communicators who can bring ancient concepts alive through stories, case studies, comparative analysis , and relevance to today’s world. Prior teaching experience or orientation in IKS, Sanskrit, or cultural studies is preferred. Should be open to interdisciplinary teaching and able to engage first-year undergraduates from diverse academic backgrounds. Eligibility: Master's or PhD in Sanskrit, Philosophy, History, Cultural Studies, Ayurveda, Education, or related fields OR extensive practical experience in teaching or preserving Indian knowledge systems Based in Pune or willing to conduct on-campus classes Time Commitment: 30 one-hour sessions (across the semester) Flexible scheduling based on faculty availability and academic calendar How to Apply: Send resume to [email protected] or apply directly here Job Types: Part-time, Contractual / Temporary Contract length: 4 months Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Experience: Higher education teaching: 5 years (Preferred) Indian knowledge system (IKS): 2 years (Preferred) Language: English (Preferred) Work Location: In person
Visiting Faculty – Advanced Statistics for Data Science Location: Pune (On-campus Garware College) Position Type: Visiting / Part-Time Target Audience: B.Sc. / M.Sc. Data Science Students Course Duration: 60 Hours (Typically delivered across a semester) Course Overview: This course builds foundational and advanced statistical skills for data science students. It covers descriptive and inferential statistics, regression models, multivariate techniques, and practical statistical computing—preparing students to perform real-world data analysis. Key Topics to Be Taught: Descriptive Statistics & Exploratory Data Analysis (EDA) Probability Distributions and Sampling Theorems Statistical Inference: Estimation & Hypothesis Testing Correlation & Regression (Simple, Multiple, Logistic) ANOVA, Chi-Square Tests, and Non-Parametric Methods Multivariate Statistics: PCA, Factor Analysis, Cluster Analysis Introduction to Statistical Computing using Python (or R ) Hands-on work with real datasets and statistical simulations Ideal Candidate Profile: Postgraduate or PhD in Statistics, Mathematics, Data Science, or a related field Strong command of statistical software/tools such as Python (NumPy, pandas, statsmodels, seaborn) or R Prior teaching or corporate training experience in applied statistics is preferred Ability to engage students through practical assignments, projects, and datasets Passionate about applying statistics in real-life contexts (business, research, etc.) Commitment & Delivery Format: ~60 hours per semester Weekly 4–6 hours of lectures + hands-on lab sessions On-campus, at a Pune-based institute How to apply: Send resume to [email protected] or apply directly here Job Types: Part-time, Contractual / Temporary Contract length: 4 months Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Experience: Higher education teaching: 5 years (Preferred) Statistics: 3 years (Preferred) Language: English (Preferred) Work Location: In person
Visiting Faculty – Business Communication & Soft Skills Location: Pune (On-campus at Garware College) Position Type: Visiting / Part-Time Target Audience: Undergraduate Students Role Overview: Garware College, Pune is inviting applications for a Visiting Faculty position to teach Business Communication and Soft Skills . This role is ideal for professionals with strong communication training experience who are passionate about shaping students for today’s dynamic workplace. Topics to be Covered: Verbal & Non-verbal Communication Email and Report Writing Presentation & Public Speaking Skills Interview Skills & Resume Building Teamwork, Time Management & Conflict Resolution Confidence building and Personal Branding What We’re Looking For: Fluency in English and strong interpersonal skills. Practical exposure to corporate communication and training. Prior teaching/training experience in communication or soft skills preferred. Ability to conduct interactive, activity-based sessions . Eligibility: Graduate/Postgraduate in English, Mass Communication, Psychology, HR, or related fields. Trainers with experience in finishing schools, corporate workshops, or academic institutions are welcome. Commitment: 4–6 hours per week , flexible scheduling On-campus sessions only at Garware College, Pune How to apply: Send resume to [email protected] or apply directy here Job Types: Full-time, Part-time, Contractual / Temporary Contract length: 4 months Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Experience: Higher education teaching: 3 years (Preferred) soft skills training: 3 years (Preferred) Language: English (Preferred) Work Location: In person
Visiting Faculty – Applied Financial Literacy (in PUNE) Location: Pune (On-campus Garware College) Target Students: First-Year B.Sc. Data Science Course Duration: 45 hours (including theory + hands-on workshops) About the Role: We are seeking a Visiting Faculty to teach Applied Financial Literacy to undergraduate students of B.Sc. Data Science . This course integrates practical money management skills with core concepts in banking, investment, insurance, and taxation—aligned with NEP-2020's emphasis on holistic, real-world education. What You’ll Teach: Personal Financial Planning & Budgeting Safe Digital Banking & UPI Ecosystem Investments & Insurance (SIPs, Mutual Funds, Risk Profiling) Taxation & Government Schemes (PPF, ELSS, e-filing) Includes hands-on activities like: Budgeting using spreadsheets Simulated digital transactions SIP & insurance planning using calculators Simulated tax planning and savings strategies Who We're Looking For: Background in Finance, Economics, Commerce , or Personal Finance Advisory Strong practical experience in financial planning, taxation, or investment advisory Prior teaching/training experience preferred, especially with beginners or youth Passion for interactive learning – real-life case studies, digital tools, simulations Familiarity with digital finance platforms (UPI, net banking, wallets) and risk awareness Must be available to teach on campus in Pune Time Commitment: ~45 hours total (divided across weeks/semester) 2 theory + 1 practical/workshop session per week (flexible scheduling possible) How to Apply: Send resume to [email protected] or apply directly here Job Types: Full-time, Part-time, Contractual / Temporary Contract length: 4 months Pay: ₹30,000.00 - ₹50,000.00 per month Schedule: Day shift Experience: Higher education teaching: 3 years (Preferred) Financial planning: 3 years (Preferred) Language: English (Preferred) Work Location: In person
As a Placement Coordinator/Director in Student Affairs at SDBI School of Data Science & Business Intelligence, located in Mumbai, you will be responsible for leading industry engagement, placement drives, and student success initiatives at our premier institute. SDBI offers a range of programs in Data Science and Business Analytics in collaboration with renowned educational institutions and is dedicated to enhancing students" academic learning experiences to meet industry expectations effectively. Your key responsibilities will include building and nurturing strategic partnerships with industry leaders, organizing campus placement drives, and facilitating recruitment sessions to align student skills with the current hiring needs. You will also be involved in planning and executing student training programs, conducting mock interviews, and coordinating various guest lectures and mentorship sessions to enhance students" soft and technical skills. As part of your role, you will lead the student placement committee, manage internship fairs, career festivals, and industry-led hackathons, and create engagement strategies for students throughout the academic year. Additionally, you will collaborate with faculty, academic teams, and leadership to align placement strategies, maintain updated databases of student profiles and placement records, and work closely with HRs and recruiters to understand evolving industry requirements. The ideal candidate for this position should hold a Bachelor's or Master's degree in Management, HR, or a relevant field, with at least 3-7 years of experience in Placement or Student Affairs roles within educational institutions. You should have a strong corporate network, especially within the tech, analytics, BFSI, and consulting sectors, coupled with excellent communication, planning, and interpersonal skills. A passion for student success and the ability to mentor and motivate young minds are essential for this role. To apply for this position, please send your CV to info@sdbi.in with the subject line "Application - Placement Coordinator/Student Affairs". Immediate joiners are preferred for this full-time role with a day shift schedule. The desired experience includes at least 5 years in placement within educational institutes and 3 years in industry tie-ups. This position requires in-person work at the designated location.,
Job Title: Corporate Trainer – AI & Governance Location: Mumbai (On-site) Engagement: Short-term / Contract / Workshop-based About the Role We are seeking an experienced Corporate Trainer – AI & Governance to deliver advanced training sessions to a team of senior data scientists (10–15 years of industry experience) in the banking sector . The focus will be on strengthening their expertise in AI model validation, governance, and risk assessment , with a special emphasis on regulatory compliance and emerging GenAI risks. Who You’ll Train A highly skilled group of senior data scientists working on banking use-cases, risk models, and advanced AI systems. The audience already has strong technical depth, so the training requires strategic, regulatory, and governance-focused insights beyond basic ML/AI concepts. Training Scope (Indicative) AI Model Validation best practices Risk assessment across data, models, operations, and compliance Governance frameworks aligned with banking regulations (RBI, OCC, EU AI Act, etc.) Responsible AI practices, fairness, and bias monitoring Generative AI risks (hallucinations, adversarial misuse, copyright/IP, ethical concerns) Ongoing monitoring, controls, and audit readiness Ideal Trainer Profile 10+ years of experience in AI/ML, governance, or model risk management Strong understanding of banking/financial services regulations Prior experience in corporate training, workshops, or executive education Knowledge of AI governance frameworks, model validation checklists, and GenAI risk controls Excellent communication and facilitation skills for senior-level professionals Why Join Us Opportunity to engage with a leading banking industry data science team Shape the future of responsible AI adoption in financial services Platform to deliver cutting-edge AI governance knowledge at scale If you are passionate about advancing AI governance and have the expertise to guide senior professionals in the banking sector, we’d love to hear from you. Apply directly here or write to us at [email protected] Job Types: Part-time, Contractual / Temporary Pay: ₹40,000.00 - ₹80,000.00 per month Experience: Training & development: 10 years (Required) Banking: 5 years (Required) Work Location: In person
Industry Experts – Data Science (Industry Connect Sessions) Location: Mumbai (On-campus sessions) Engagement: Guest Lectures / Short-Term Sessions SDBI is inviting senior industry professionals to join us as part of our Industry Connect initiative , where leaders bring real-world applications of Data Science into the classroom. Areas of Focus (but not limited to): Manufacturing – predictive maintenance, process optimization, IoT analytics Retail – customer insights, personalization, demand forecasting Sports – performance analytics, strategy optimization, fan engagement Product & Innovation – data-driven product design, A/B testing, user analytics Who We’re Looking For 12+ years of professional experience, with proven expertise in data science, AI/ML, or analytics applications within your industry Strong ability to connect with learners and translate complex real-world problems into teachable insights Passion for mentoring the next generation of data professionals What You’ll Do Conduct guest lectures, masterclasses, or panel sessions with our students Share case studies, challenges, and best practices from your industry Inspire learners to explore the wide applications of data science beyond textbooks Build a bridge between academic learning and industry practice Why Join Us Platform to share your experience and thought leadership with an upcoming generation of data scientists Engage with a curious, motivated student community Contribute to shaping the future of data-driven industries If you are a senior professional in manufacturing, retail, sports, product, or any data science-driven field , and are excited to engage with learners, we’d love to hear from you. Apply via LinkedIn or reach us at [email protected] Job Type: Contractual / Temporary Pay: ₹20,000.00 - ₹40,000.00 per month Experience: Core Industry: 7 years (Required) Training & development: 3 years (Required) Work Location: In person