Job Introduction:
A Data Science Trainer is responsible for teaching various modules of Data Science as per the curriculum. They deliver training sessions, prepare learning materials, and assess the progress of learners. The role demands strong expertise in data analytics, programming, machine learning, deep learning, and emerging AI technologies. A Data Science Trainer must be able to simplify complex technical concepts, demonstrate practical applications, and communicate effectively. They play a key role in shaping learners into skilled data professionals who can work with real-world datasets and industry-relevant tools.
Roles & Responsibilities:
Conducting classroom or online lectures on Data Science, Machine Learning, Deep Learning, AI, SQL, Python, and related technologies.Assigning and evaluating practical exercises, projects, and data-driven case studies.Guiding students one-on-one with coding support, doubt-solving, and project mentoring.Ensuring that the course curriculum is updated, practical, and aligned with current industry needs.Collaborating with other trainers and content developers to create and improve training materials.Maintaining accurate records of student performance, attendance, and progress reports.Creating a positive, engaging, and hands-on learning environment for students.Participating in faculty meetings, workshops, and continuous professional development activities.Keeping up-to-date with the latest advancements in Data Science tools, frameworks, and technologies.Job Qualification & Skill Sets:
A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.Minimum 1 year of experience as a Data Science TrainerStrong knowledge of Python programming, data analysis libraries and data visualization toolsProficiency in SQL for data extraction, manipulation, and analysis.Excellent communication, presentation, and mentoring skills.A passion for teaching and empowering students to build strong careers in Data Science.Ability to work independently as well as collaboratively within a team.Perks & Benefits :
12 Holidays and 21 leaves for the yearMonthly, Quarterly & Yearly RecognitionMedical Insurance along with the family coveredChance to win Indian & International tripsCareer Growth EnhancementContinuous training & development Read LessJob Introduction:
A Data Science Trainer is responsible for teaching various modules of Data Science as per the curriculum. They deliver training sessions, prepare learning materials, and assess the progress of learners. The role demands strong expertise in data analytics, programming, machine learning, deep learning, and emerging AI technologies. A Data Science Trainer must be able to simplify complex technical concepts, demonstrate practical applications, and communicate effectively. They play a key role in shaping learners into skilled data professionals who can work with real-world datasets and industry-relevant tools.
Roles & Responsibilities:
Conducting classroom or online lectures on Data Science, Machine Learning, Deep Learning, AI, SQL, Python, and related technologies.Assigning and evaluating practical exercises, projects, and data-driven case studies.Guiding students one-on-one with coding support, doubt-solving, and project mentoring.Ensuring that the course curriculum is updated, practical, and aligned with current industry needs.Collaborating with other trainers and content developers to create and improve training materials.Maintaining accurate records of student performance, attendance, and progress reports.Creating a positive, engaging, and hands-on learning environment for students.Participating in faculty meetings, workshops, and continuous professional development activities.Keeping up-to-date with the latest advancements in Data Science tools, frameworks, and technologies.Job Qualification & Skill Sets:
A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.Minimum 1 year of experience as a Data Science TrainerStrong knowledge of Python programming, data analysis libraries and data visualization toolsProficiency in SQL for data extraction, manipulation, and analysis.Excellent communication, presentation, and mentoring skills.A passion for teaching and empowering students to build strong careers in Data Science.Ability to work independently as well as collaboratively within a team.Perks & Benefits :
12 Holidays and 21 leaves for the yearMonthly, Quarterly & Yearly RecognitionMedical Insurance along with the family coveredChance to win Indian & International trips Career Growth Enhancement Continuous training & development Read LessJob Introduction:
A Data Science Trainer is responsible for teaching various modules of Data Science as per the curriculum. They deliver training sessions, prepare learning materials, and assess the progress of learners. The role demands strong expertise in data analytics, programming, machine learning, deep learning, and emerging AI technologies. A Data Science Trainer must be able to simplify complex technical concepts, demonstrate practical applications, and communicate effectively. They play a key role in shaping learners into skilled data professionals who can work with real-world datasets and industry-relevant tools.
Roles & Responsibilities:
Conducting classroom or online lectures on Data Science, Machine Learning, Deep Learning, AI, SQL, Python, and related technologies.Assigning and evaluating practical exercises, projects, and data-driven case studies.Guiding students one-on-one with coding support, doubt-solving, and project mentoring.Ensuring that the course curriculum is updated, practical, and aligned with current industry needs.Collaborating with other trainers and content developers to create and improve training materials.Maintaining accurate records of student performance, attendance, and progress reports.Creating a positive, engaging, and hands-on learning environment for students.Participating in faculty meetings, workshops, and continuous professional development activities.Keeping up-to-date with the latest advancements in Data Science tools, frameworks, and technologies.Job Qualification & Skill Sets:
A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.Minimum 1 year of experience as a Data Science TrainerStrong knowledge of Python programming, data analysis libraries and data visualization toolsProficiency in SQL for data extraction, manipulation, and analysis.Excellent communication, presentation, and mentoring skills.A passion for teaching and empowering students to build strong careers in Data Science.Ability to work independently as well as collaboratively within a team.Perks & Benefits :
12 Holidays and 21 leaves for the yearMonthly, Quarterly & Yearly RecognitionMedical Insurance along with the family coveredChance to win Indian & International trips Career Growth Enhancement Continuous training & development Read LessJob Description:
As an Investment Banking Trainer, you will be responsible for delivering engaging and interactive sessions, guiding learners through real-world scenarios, mentoring them, and preparing them for successful careers in Investment Banking and Finance.
Responsibilities:
Deliver training sessions on Investment Banking covering modules such as financial markets, banking operations, equity research, M&A;, financial modeling, and financial analytics using tools like Excel and Power BI.Guide students through real-world financial scenarios and exercises, ensuring clear understanding of accounting, financial statements, ratios, valuation, and the trade lifecycle.Mentor students throughout their training journey, providing career guidance and support with capstone projects, using AI tools to simulate industry-relevant scenarios.Provide feedback on student progress through assessments, quizzes, and hands-on projects.Required Skills & Qualifications:
Expert knowledge in Investment Banking, including financial markets, equities, bonds, derivatives, M&A;, financial modeling, and valuation techniques.Experience with Excel for finance and Power BI for financial analytics.3+ years of experience in the Investment Banking industry, with a strong focus on training or mentoring.Excellent communication and presentation skills, with the ability to explain complex financial concepts clearly and effectively.Ability to guide and mentor students through practical projects and capstone tasks.Perks & Benefits :
12 Holidays and 21 leaves for the yearMonthly, Quarterly & Yearly RecognitionMedical Insurance along with the family coveredChance to win Indian & International trips Career Growth Enhancement Continuous training & development Read LessJob Title: Corporate Relations Manager
Department: Corporate Relations
Location: Thane
Company Website:
We are seeking a well-connected, proactive, and relationship-driven Corporate Relations Manager to lead and strengthen our industry engagement for placements and training initiatives.
Key Responsibilities:
1. Client Acquisition & Relationship Management
Identify and onboard new corporate partners across IT, Non-IT, start-ups, and MNCs for Train & Hire, Contract Staffing, and Full-time Hiring models.Develop long-term relationships with key decision-makers (HR Heads, TA Managers, Business Leaders).Ensure repeat business by delivering high-quality profiles and maintaining post-placement engagement.2. Talent Alignment & Recruitment Operations
Screen, shortlist, and share relevant candidate profiles based on client hiring needs.Coordinate end-to-end interview processes, feedback collection, and follow-ups.Customize hiring models and solutions based on client feedback and industry trends.3. Student Training & Career Readiness
Conduct employability training: mock interviews, resume-building workshops, GD/PI sessions, and professional etiquette.Partner with internal trainers to ensure student readiness aligned to industry expectations.Drive value-based engagement to boost student confidence and placement outcomes.4. Placement Strategy & Execution
Lead the planning and execution of campus and off-campus recruitment drives, job fairs, recruiter conclaves, and alumni networking events.Publish placement calendars in collaboration with stakeholders and ensure timely execution.Collaborate with academic and training teams to improve curriculum-industry alignment.5. Performance Tracking & Analytics
Maintain and update MIS reports on placement statistics, company engagement, student progress, and training feedback.Use data to identify gaps and recommend improvements in placement strategy.6. Brand Building & Industry Partnerships
Represent the institution at job fairs, HR summits, and industry expos.Organize panel discussions, webinars, and recruiter talks to improve brand visibility.Leverage alumni networks for referral hiring, mentoring, and corporate outreach.7. Policy Adherence & Grievance Handling
Implement organizational policies in placement activities and resolve grievances in a professional and unbiased manner.Ensure ethical placement practices and maintain confidentiality of corporate and student data.Key Skills & Competencies:
Strong Client Acquisition & Relationship ManagementTalent Acquisition (IT & Non-IT)Interviewing, Resume Building, and Career CoachingEvent Management - Campus Drives, Job Fairs, Recruiter ConnectsData-Driven Decision Making & MIS ReportingExcellent Communication & Negotiation SkillsStakeholder Management (Internal & External)Industry Awareness and AdaptabilityProficiency in CRM & Placement Tools (e.g., Excel, Zoho, ATS)Preferred Qualifications:
Bachelor's/Master's degree in HR, Business Administration, or related field5-8 years of relevant experience in Training & Placement / Corporate RelationsExperience working with EdTech, Higher Education InstitutionsStrong professional network across industries is an added advantageCandidates can reach out to HR Divya - /
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