data science instructor

Uplers

<div>
 
 
 Senior Data Scientist + Instructor
 
 
 
 
 
 
 
 Experience:
 
 4 - 10 Years Exp
 
 
 
 Salary:
 
 Competitive
 
 
 
 Preferred Notice Period:
 
 Upto 30 Days
 
 
 
 Opportunity Type:
 
 Office (Pune)
 
 
 
 Placement Type:
 
 Full-time
 
 
 
 
 
 
 Note: This is a requirement for one of Uplers' Clients Newton School
 
 
 
 
 
 
 
 Must have skills:
 
 Machine Learning
 
 AND
 
 K-means
 
 AND
 
 Clustering
 
 
 
 
 
 
 About Newton School:
 
 
 
 Come be part of a rocket ship that&rsquo;s creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CRED&rsquo;s Kunal Shah, Flipkart&rsquo;s Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaan&rsquo;s Sujeet Kumar among others.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 <ul>
 <li>
 Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", &ldquo;Big Data&rdquo;, and &ldquo;Data Analytics&rdquo; courses, covering the full syllabus from foundational concepts to advanced techniques.
 </li>
 <li>
 Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.
 </li>
 <li>
 Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detection.
 </li>
 <li>
 Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.
 </li>
 <li>
 Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).
 </li>
 <li>
 Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).
 </li>
 <li>
 Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.
 </li>
 <li>
 Contribute to the academic and research environment of the department and the university.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
 </li>
 <li>
 Demonstrable 4-10 years of expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.
 </li>
 <li>
 Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
 </li>
 <li>
 Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.
 </li>
 <li>
 Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Experience in mentoring student teams for data science competitions or hackathons.
 </li>
 </ul>
 
 
 
 
 
 Perks &amp; Benefits:
 
 
 <ul>
 <li>
 Competitive salary packages aligned with industry standards.
 </li>
 <li>
 Access to state-of-the-art labs and classroom facilities.
 </li>
 <li>
 To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education!
 </li>
 </ul>
 
 
 
 
 
 How to apply for this opportunity?
 
 
 
 
 
 
 
 Easy 3 Step Process:
 
 
 <ul>
 <li>
 Click On Apply and register or log in to our portal
 </li>
 <li>
 Upload updated Resume &amp; complete the Screening Form
 </li>
 <li>
 Increase your chances of getting shortlisted &amp; meet the client for the Interview!
 </li>
 </ul>
 
 
 
 
 
 About Uplers:
 
 
 
 Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
 
 
 (Note: There are many more opportunities apart from this on the portal.)
 
 
 So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
 
</div>

Senior Data Scientist + Instructor

upGrad

<div>
 
 
 About upGrad
 
 
 
 
 
 
 Founded in 2015, upGrad is Asia&rsquo;s largest integrated Learning, Skilling, Workforce Development, and Placement company. Its offerings include online and hybrid degrees, study abroad programs, certifications, bootcamps, and doctorates for working professionals. Through its B2B arm, upGrad also provides enterprise training, recruitment, and staffing services. With 10M+ learners across 100+ countries, 300+ global university partners, 2500+ pathway connections, and 20,000+ recruitment partners, upGrad continues to empower careers worldwide.
 
 
 
 
 
 Learn more: www.upgrad.com/offline-centres
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 As an Instructor at our Offline Learning Centres, you will deliver engaging sessions in Data Science, Machine Learning, Deep Learning, and related fields to students and working professionals. You will play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship, and academic support. This is a unique opportunity to combine your passion for technology and education, while shaping the careers of tomorrow.
 
 
 
 
 
 
 6 Reasons to Join upGrad Offline Learning Centres
 
 
 
 
 
 
 1. Career Growth &amp; SME Pathway: Accelerate your career with opportunities to move into leadership roles and grow as a Subject Matter Expert by contributing to content development, curriculum design and new program launches.
 
 
 2. Continuous Upskilling: Access 100% free upGrad programs for yourself and a 50% discount for your family.
 
 
 3. Comprehensive Health &amp; Wellbeing: Benefit from INR 5L medical insurance for yourself and your family, plus a 24x7 mental health helpline for all-round support.
 
 
 4. Attractive Incentives: Earn additional incentives for successful student referrals from your batches, giving you direct rewards for expanding the learner community.
 
 
 5. Employee Referral Bonus: Receive INR 15,000 for every successful employee referral &ndash; bring great talent to upGrad and get rewarded.
 
 
 6. Impact &amp; Exposure: Opportunity to work with industry leaders, design cutting-edge content, and directly impact learner success.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep Learning and related domains.
 
 
 &bull; Guide learners through concepts, case studies, and projects to ensure strong understanding and application.
 
 
 &bull; Collaborate with Centre Managers and academic teams to monitor learner progress and outcomes.
 
 
 &bull; Support students with doubt-solving, mentorship, and building career-ready skills.
 
 
 &bull; Continuously update knowledge and content to stay current with industry trends and tools.
 
 
 
 
 
 
 Skills &amp; Experience
 
 
 
 
 
 
 &bull; Minimum 2+ years of teaching/training experience in Data Science, Machine Learning, or related fields.
 
 
 &bull; Strong programming skills in Python and understanding of SQL, Excel.
 
 
 &bull; Solid grasp of ML/DL concepts such as Regression, Decision Trees, Random Forests, Ensemble methods, Neural Networks, NLP, Recommendation Systems, etc.
 
 
 &bull; Strong communication, presentation, and mentoring skills.
 
 
 &bull; Comfortable with both classroom delivery and online teaching (camera-facing).
 
 
 &bull; Education: BE/ B.Tech (minimum); Postgraduate preferred.
 
 
 
 
 
 
 Equal Opportunity
 
 
 
 
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. All employment is decided on the basis of qualifications, merit, and business need
 
</div>

Instructor – Offline Learning Centre

Datamites

Job Overview:We are seeking an experienced and knowledgeable Data Science Trainer to join our team. The ideal candidate will have a strong background in data science concepts, practical implementation skills, and the ability to deliver engaging training sessions to learners of all levels.Key Responsibilities:<ul><li>Design and deliver comprehensive data science training programs for students and professionals.</li><li>Develop course materials, including presentations, assignments, and projects.</li><li>Conduct hands-on coding sessions using tools like Python, R, and relevant libraries.</li><li>Guide learners through real-world data science projects and case studies.</li><li>Evaluate student progress, provide constructive feedback, and support their learning journey.</li><li>Stay updated with the latest industry trends, tools, and technologies in data science.</li><li>Collaborate with the content development team to improve course content and learning materials.</li></ul>Skills &amp; Requirements:<ul><li>Proficiency in Python, ML, SQL and data visualization tools such as Power BI, Tableau, etc.</li><li>Strong understanding of machine learning algorithms, data analysis techniques, and data preprocessing.</li><li>Hands-on experience with data science libraries like NumPy, Pandas, Scikit-learn, TensorFlow, etc.</li><li>Excellent presentation, communication, and mentoring skills.</li><li>Prior experience in teaching or training is highly preferred.</li><li>Certification in data science or related fields will be an added advantage.</li></ul>Job Type: Full-timePay: &#8377;15,652.43 - &#8377;55,473.71 per monthBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

Data Science Trainer

Decodetech

Location: Just a 2-minute walk from Thane West Railway Station, Platform No. 1 Position Type: Part-Time (Weekends - Saturday &amp; Sunday) Experience Required: 5-6 Years in Data Science/AnalyticsRemuneration (Salary): As per Industrial Standards.About the RoleAre you a Data Scientist or Analyst passionate about mentoring the next generation of data professionals? We are a leading training institute in Thane seeking an experienced and dynamic trainer to lead our part-time Data Science and Data Analytics programs.This is an ideal opportunity for a seasoned expert to share their real-world knowledge in a flexible, weekend-only role. If you thrive on breaking down complex data concepts and empowering students with practical, industry-relevant skills, we encourage you to apply.Key Responsibilities&middot; Deliver engaging and comprehensive training sessions that blend core theory with hands-on, practical implementation.&middot; Design and update a cutting-edge curriculum covering the full spectrum of Data Science and Data Analytics, from foundational statistics to advanced machine learning.&middot; Conduct interactive labs and workshops using real-world datasets and case studies.&middot; Guide students through end-to-end projects, including data cleaning, analysis, visualization, and model deployment.&middot; Foster a collaborative learning environment, providing constructive feedback and resolving student queries effectively.&middot; Develop and maintain high-quality training materials, including code notebooks, presentations, and project guides.&middot; Assess and evaluate student progress through assignments, projects, and practical tests.Must-Have Skills &amp; Qualifications&middot; 5-6 years of hands-on professional experience in a Data Scientist, Data Analyst, or similar role.&middot; Proven experience in teaching, mentoring, or conducting training sessions with confidence.&middot; Expert, practical proficiency in the following tools and technologies:o Programming: Python (Must-have), with strong knowledge of libraries like Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.o Data Handling &amp; SQL: Advanced SQL for data querying and manipulation.o Statistics &amp; Mathematics: Strong foundation in descriptive &amp; inferential statistics, probability, and linear algebra.o Machine Learning: Solid understanding and implementation experience of ML algorithms (Supervised, Unsupervised), model evaluation, and validation techniques.o Data Visualization: Expertise in creating dashboards using tools like Tableau or Power BI.o Big Data Fundamentals: Familiarity with big data concepts and platforms like Spark is a plus.Ideal Candidate Profile&middot; Exceptional communication and presentation skills, with the ability to explain intricate topics clearly.&middot; A genuine passion for teaching and a student-centric approach.&middot; Stays abreast of the latest trends and technologies in the data field (e.g., GenAI, LLMs, MLOps).&middot; Self-motivated, punctual, and reliable with a professional demeanor.What We Offer&middot; Highly Flexible Weekend Batch Timings (Saturday &amp; Sunday) to complement your schedule.&middot; An extremely convenient location &ndash; merely a 2-minute walking distance from Thane West Station.&middot; A competitive and attractive remuneration package.&middot; An opportunity to build your profile as an influential mentor and industry expert.&middot; The satisfaction of shaping successful careers in one of the most high-demand fields.How to Apply:If you are excited about this opportunity and meet the above criteria, please send your updated resume to hr@dcodetech.in/shankardcodetech@gmail.com or call us at 8080811662/ 74030 06777Job Types: Part-time, Freelance Contract length: 240 monthsPay: &#8377;200,000.00 - &#8377;500,000.00 per monthExpected hours: 2 per weekWork Location: In person

Edure Learning

Job description:Job Title: Data Scientist TrainerLocation: KochiJob Type: Full-timeExp: 1-2yrsAge: Above 25yrsOnly malayali candidates need to applyWe are looking for an experienced and passionate Data Scientist Trainer to train students and professionals in data science concepts and tools. The trainer will be responsible for designing, delivering, and evaluating data science training programs that combine theory with practical applications.Key Responsibilities:<ul><li>Conduct training sessions on Data Science, Machine Learning, Deep Learning, and related technologies.</li><li>Teach tools and languages such as Python, R, SQL, Power BI, Tableau, and Excel.</li><li>Explain and demonstrate data preprocessing, visualization, statistical modeling, and predictive analytics techniques.</li><li>Develop and maintain course materials, assignments, projects, and assessments.</li><li>Mentor students on real-world data science projects and guide them through model building and deployment.</li><li>Stay updated with the latest industry trends and integrate them into training content.</li></ul>Job Type: Full-timePay: &#8377;15,000.00 - &#8377;25,000.00 per monthAbility to commute/relocate:<ul><li>Kochi, Kerala: Reliably commute or planning to relocate before starting work (Required)</li></ul>Work Location: In person

makbig learn

Responsibilities:<ul><li>Deliver interactive sessions on data science topics, including data wrangling, EDA, machine learning, and model evaluation.</li><li>Create lesson plans, coding exercises, and real-world projects.</li><li>Mentor students, providing clear explanations and constructive feedback.</li><li>Stay updated on industry tools and trends to enhance course content.</li><li>Assess student performance through projects and assignments.</li></ul>Requirements:<ul><li>Degree in Data Science, Computer Science, Statistics, or related field.</li><li>Experience as a Data Scientist or similar role.</li><li>Strong teaching, communication, and mentoring skills.</li><li>Proficiency in Python (Pandas, Scikit-learn), SQL, and data visualization.</li></ul>Job Type: Full-timePay: &#8377;15,000.00 - &#8377;30,000.00 per monthLanguage:<ul><li>English (Required)</li></ul>Work Location: In person

Data Science Mentor

Job Overview:We are seeking an experienced and knowledgeable Data Science Part time Trainer to join our team. The ideal candidate will have a strong background in data science concepts, practical implementation skills, and the ability to deliver engaging training sessions to learners of all levels.Key Responsibilities:<ul><li>Design and deliver comprehensive data science training programs for students and professionals.</li><li>Develop course materials, including presentations, assignments, and projects.</li><li>Conduct hands-on coding sessions using tools like Python, R, and relevant libraries.</li><li>Guide learners through real-world data science projects and case studies.</li><li>Evaluate student progress, provide constructive feedback, and support their learning journey.</li><li>Stay updated with the latest industry trends, tools, and technologies in data science.</li><li>Collaborate with the content development team to improve course content and learning materials.</li></ul>Skills &amp; Requirements:<ul><li>Proficiency in Python, ML, SQL and data visualization tools such as Power BI, Tableau, etc.</li><li>Strong understanding of machine learning algorithms, data analysis techniques, and data preprocessing.</li><li>Hands-on experience with data science libraries like NumPy, Pandas, Scikit-learn, TensorFlow, etc.</li><li>Excellent presentation, communication, and mentoring skills.</li><li>Prior experience in teaching or training is highly preferred.</li><li>Certification in data science or related fields will be an added advantage.</li></ul>Job Type: Part-timePay: &#8377;15,652.43 - &#8377;30,473.71 per monthExpected hours: 6 per weekBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Experience:<ul><li>Data science: 1 year (Required)</li></ul>Location:<ul><li>Bengaluru, Karnataka (Required)</li></ul>Work Location: In person

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