Analyst - Data Science

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

• Strong communication and facilitation skills.
• Ability to simplify complex technical concepts for diverse audiences.
• Collaborative mindset and stakeholder engagement capability.