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    Job · 17922683

    JABALPUR · FULLTIME

    Data Science Instructor

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    upGrad

    Jabalpur · onsite · Posted 35d ago

    Sourced fromNaukri
    Undisclosed3–7 yrsfulltimeJabalpur

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    Section · 01

    About this role

    Job Title: Data Science Instructor

    Location: Jabalpur

    Working Days: 6 (Monday to Saturday)


    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 & 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 & 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

    bring great talent to upGrad and get rewarded.

    6. Impact & Exposure: Opportunity to work with industry leaders, design cutting-edge content,

    and directly impact learner success.


    Key Responsibilities

    * Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep Learning and related domains.

    * Guide learners through concepts, case studies, and projects to ensure strong understanding and application.

    * Collaborate with Centre Managers and academic teams to monitor learner progress and outcomes.

    * Support students with doubt-solving, mentorship, and building career-ready skills.

    * Continuously update knowledge and content to stay current with industry trends and tools.


    Skills & Experience

    * Minimum 2+ years of teaching/training experience in Data Science, Machine Learning, or related fields.

    * Strong programming skills in Python and understanding of SQL, Excel.

    * Solid grasp of ML/DL concepts such as Regression, Decision Trees, Random Forests,Ensemble methods, Neural Networks, NLP, Recommendation Systems, etc.

    * Strong communication, presentation, and mentoring skills.

    * Comfortable with both classroom delivery and online teaching (camera-facing).

    * 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.

    Sourced from naukri

    Section · 02

    Skills

    Data science facultydata science specialistmachine learning instructormachine learning specialistteachingEdtechE-learningDeep LearningInstructor Led TrainingData ScienceArtificial IntelligenceMachine LearningData Science Instructor

    Section · Company

    About upGrad

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    upGrad

    EdTech

    9.1k+

    employees

    2015

    11 years old

    Mumbai, Maharashtra

    India

    About

    upGrad US offers the industry's best online degree courses like Master's in AI, ML, Data Science, Digital Marketing & more.

    Industries

    EdTechInternetEducation & TrainingHardware & NetworkingSoftware Product

    Employee ratings

    2,135 reviews

    3.4/ 5

    Culture

    3.2

    Career growth

    2.9

    Work-life

    3.2

    Employees rate it well for

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