Data Analyst and Data science trainer

Job Title: Data Science Trainer

Location: Coimbatore

Employment Type: Full-time

Job Summary:

We are seeking an experienced and passionate Data Science Trainer to deliver engaging and practical training sessions to students or professionals. The trainer will design curriculum, prepare materials, and guide learners in developing data science skills through real-world projects and case studies.

Key Responsibilities:

• Develop and deliver comprehensive training programs on Data Science concepts, tools, and techniques.
• Teach topics including but not limited to:
• Data Analysis (NumPy, Pandas, Data Cleaning, EDA)
• Data Visualization (Matplotlib, Seaborn, Plotly)
• Statistics & Probability (Descriptive, Inferential)
• Machine Learning (Supervised & Unsupervised Algorithms, Model Evaluation)
• Deep Learning (Neural Networks, TensorFlow, PyTorch – if applicable)
• Big Data Tools (Hadoop, Spark – if applicable)
• Provide hands-on training with industry-relevant datasets and projects.
• Prepare lesson plans, assignments, assessments, and evaluation reports.
• Mentor learners individually to ensure conceptual clarity and practical application.
• Keep training content updated with the latest industry trends and technologies.
• Collaborate with the academic or corporate training team for curriculum improvement.

Required Skills & Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.
• Proven experience in Data Science, Machine Learning, and Data Analytics.
• Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.
• Strong understanding of statistical concepts and their application in data analysis.
• Experience with visualization tools like Tableau/Power BI is a plus.
• Excellent communication and presentation skills.
• Ability to simplify complex concepts for learners with varied backgrounds.
• Prior teaching/training experience preferred.

We are seeking a highly motivated and knowledgeable DADS Trainer to conduct hands-on training in Data Analytics and Data Science. The ideal candidate will have strong domain expertise, coding proficiency, and a passion for teaching concepts in Python, statistics, machine learning, data visualization, and tools like Excel, Power BI, and SQL.

We are looking for a passionate and experienced Business Analyst Trainer to join our training team. This role involves delivering high-quality training programs on business analysis tools, methodologies, and best practices, both in-person and online.

This is a fulltime onsite trainer cum developer role. To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.

Job Title - Full Stack Trainer

skills Required - Java, Python, HTML, CSS, Nodejs, SQL, React ,GIT,SVN

Packages- 6LPA-10LPA

Experience- 3-4 Years

Location-Coimbatore.

Head of the Department

AI and Data Science

12 to 15 years of Experience

Salary negotiable for immediate Joiners

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Vacancy for Teaching profile at IT training institute.

Technobrilliant Learning solutions is hiring an "IT faculty member" for IT Training & Skill Development center.

Position available:

1) FULLSTACK JAVA/PYTHON FACULTY

Mode of job: offline( onsite)

Location: Shivaji Nagar, Pune & KK Market (Katraj) Pune,

Experience : 2+ years for software testing & full-stack

5+ years for Salesforce.

Type: Full-time & Part-time

Salary: Depends on experience & interview.

Website: www.technobrilliant.com

Position Description:

Amity University, Patna campus invites applications for a tenure-track Assistant Professor position in the Department of Computer Science. The successful candidate will demonstrate a strong commitment to teaching, research, and service in the field of computer science.

Responsibilities:

• Teach undergraduate and graduate courses in computer science, with a focus on [insert areas of specialization or interest, e.g., artificial intelligence, machine learning, software engineering, etc.].
• Develop and deliver innovative curriculum that incorporates industry best practices and emerging technologies.
• Advise and mentor undergraduate and graduate students in academic and career development.
• Conduct high-quality research leading to publications in peer-reviewed journals and presentations at conferences.
• Seek external funding to support research activities and contribute to the growth of the department.
• Participate in departmental and institutional service activities, including committee work, academic advising, and community outreach.
• Contribute to the collegial and collaborative atmosphere of the department through active engagement with colleagues and participation in departmental events and initiatives.

Qualifications:

• A Ph.D. in Computer Science or atleast Thesis submitted
• Evidence of excellence in teaching at the undergraduate and/or graduate level.
• A strong record of research productivity, including publications in reputable journals and conferences.
• Demonstrated expertise in [insert areas of specialization].
• Ability to effectively communicate complex concepts to diverse audiences.
• Commitment to fostering an inclusive and equitable learning environment.
• Strong interpersonal skills and the ability to work collaboratively with students, faculty, and staff.
• Potential for leadership and contribution to the academic community.

Preferred Qualifications:

• Experience securing external research funding.
• Experience supervising undergraduate or graduate research projects.
• Experience with curriculum development and assessment.
• Experience with industry collaboration or technology transfer initiatives.

Application Process:

Interested candidates should submit a cover letter, curriculum vitae, statement of teaching philosophy, statement of research interests, evidence of teaching effectiveness (e.g., teaching evaluations), and contact information for three professional references. Review of applications will begin immediately and continue until the position is filled.