Data Scientist and Instructor

Nxtwave Disruptive Technologies; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Learning & development opportunities

Professional mentorship

Job summary

NxtWave is seeking a Data Scientist and Instructor to lead design of high‑quality assessments and learning experiences for Data Science, ML, and AI programs at our Hyderabad spaces. You will align evaluations with real-world hiring standards, working with curriculum teams, SMEs, and product stakeholders to build engaging, outcome-driven content.

The role requires strong AI/ML expertise and a passion for teaching, assessment design, and learner employability.

Qualifications

• 14 years of experience in Data Science, ML, AI, or technical content development.
• Strong understanding of ML/DL concepts including Neural Networks, CNNs, RNNs, LSTMs, Transformers, and Generative AI fundamentals.
• Proficiency in Python, SQL, and DS libraries/frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or Keras.
• Hands-on experience with real-world datasets and solving practical business problems.
• Strong understanding of technical interviews, assessment patterns, and AI/ML hiring expectations.
• Ability to design coding challenges, case studies, project-based assessments, and conceptual evaluations.
• Strong problem-solving, analytical thinking, and content structuring skills.
• Ability to simplify complex concepts for learners and develop assessments.
• Good communication and collaboration with cross-functional teams and SMEs.
• Passion for teaching, mentoring, and improving learner outcomes.

Responsibilities

• Design and develop industry-aligned assessments for Data Science, ML, DL, and AI programs.
• Create coding challenges, MCQs, case studies, project-based tasks, and hands-on evaluations based on real-world hiring expectations.
• Analyze industry trends, job descriptions, and interview patterns to ensure assessment relevance and quality.
• Develop practical assessment scenarios using real-world datasets and business use cases.
• Collaborate with SMEs, curriculum teams, and instructors to maintain technical accuracy and learning effectiveness.
• Review, improve, and maintain assessment quality based on learner performance and feedback.
• Ensure assessments evaluate problem-solving ability, coding proficiency, analytical thinking, and model-building skills.
• Mentor and guide associate content developers within the technical pod.
• Support instructional activities such as technical sessions, workshops, and learner guidance when required.
• Work closely with product teams to improve learner engagement and assessment experience on the platform.
• Stay updated with emerging trends in AI, Data Science, and hiring ecosystems.

Skills

Data Science

Machine Learning

Deep Learning

Python

SQL

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Keras

Assessment design

Content development

Curriculum collaboration

Communication

Mentoring

Tools

TensorFlow

PyTorch

Keras

Pandas

NumPy

Scikit-learn

Job description

Data Scientist and Instructor

At NxtWave, we are looking for a passionate and industry-oriented Data Scientist and Instructor to lead the design of high-quality assessments and learning experiences for our Data Science, Machine Learning, and AI programs.

The role focuses on creating industry-aligned evaluation content that reflects real-world hiring expectations and technical interview standards. You will work closely with curriculum teams, SMEs, and product stakeholders to build practical, engaging, and outcome-driven assessments that improve learner readiness and employability.

This role is ideal for someone who combines strong technical expertise in AI/ML with a deep understanding of teaching, assessment design, and industry trends.

Skills Required

• 14 years of experience in Data Science, Machine Learning, AI, or technical content development.
• Strong understanding of Machine Learning and Deep Learning concepts, including Neural Networks, CNNs, RNNs, LSTMs, Transformers, and Generative AI fundamentals.
• Proficiency in Python, SQL, and commonly used Data Science libraries/frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or Keras.
• Hands‑on experience working with real‑world datasets and solving practical business problems.
• Strong understanding of technical interviews, assessment patterns, and industry hiring expectations in AI/ML roles.
• Ability to design coding challenges, case studies, project‑based assessments, and conceptual evaluations.
• Strong problem‑solving, analytical thinking, and content structuring skills.
• Ability to simplify complex technical concepts into learner‑friendly content and assessments.
• Good communication and collaboration skills while working with cross‑functional teams and SMEs.
• Passion for teaching, mentoring, and improving learner outcomes.

Responsibilities

• Design and develop industry‑aligned assessments for Data Science, Machine Learning, Deep Learning, and AI programs.
• Create coding challenges, MCQs, case studies, project‑based tasks, and hands‑on evaluations based on real‑world hiring expectations.
• Analyze industry trends, job descriptions, and interview patterns to ensure assessment relevance and quality.
• Develop practical assessment scenarios using real‑world datasets and business use cases.
• Collaborate with SMEs, curriculum teams, and instructors to maintain technical accuracy and learning effectiveness.
• Review, improve, and maintain assessment quality based on learner performance and feedback.
• Ensure assessments evaluate problem‑solving ability, coding proficiency, analytical thinking, and model‑building skills.
• Mentor and guide associate content developers within the technical pod.
• Support instructional activities such as technical sessions, workshops, and learner guidance when required.
• Work closely with product teams to improve learner engagement and assessment experience on the platform.
• Stay updated with emerging trends in AI, Data Science, and hiring ecosystems to continuously improve content quality.

Job Overview

• Location: NxtWave Office Spaces in Hyderabad
• Job Type: Full‑Time
• Working days: 5 days a week