Role Overview

We are seeking a consultant with strong quantitative expertise to support training strategy, curriculum design, and capability building for analytics and data science teams. This is a contingent role focused on delivering high-quality learning experiences and technical enablement.

Key Responsibilities

- Training Needs Analysis (TNA): Identify skill gaps and assess learning requirements for analytics and data science teams.

- Curriculum Development: Design structured learning paths for quantitative methods, data analytics, data science, and Generative AI.

- Content Creation: Develop high-quality training materials, case studies, and hands-on exercises for technical and business audiences.

- Program Delivery: Conduct workshops, seminars, and virtual training sessions on advanced analytics, machine learning, and AI.

- Technology Enablement: Integrate modern tools and platforms into training programs (e.g., Python, R, Power BI, TensorFlow).

- Continuous Improvement: Evaluate training effectiveness and update content based on emerging trends and feedback.





Required Skills & Expertise

- Strong foundation in quantitative methods, statistical modeling, and optimization.

- Proficiency in data analytics tools: SQL, Excel, Power BI, Tableau.

- Expertise in data science tools and programming languages: Python, R, SAS, MATLAB.

- Familiarity with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn.

- Exposure to Generative AI technologies and applications.

- Experience in instructional design and adult learning principles.

Preferred Experience

- 0–2 years of relevant experience in quantitative analytics, data science, or training roles.

- Experience in developing and delivering technical training programs will be an add on.

Behavioral Competencies

- Solid communication and facilitation skills.

- Ability to simplify complex technical concepts for diverse audiences.

- Collaborative mindset and stakeholder engagement capability.

📌 Analyst - Data Science (Delhi)
🏢 SkillLabs
📍 Delhi