Job Title:  T&T-EAD-OIDS-Senior Consultant | Data Analytics | Delhi | Operations, Industry & Domain Solutions

Job requisition ID ::  83443
Date:  Jul 27, 2025
Location:  Delhi
Designation:  Senior Consultant
Entity:  Deloitte Touche Tohmatsu India LLP

Educational Qualifications:

  • Bachelor’s or advanced degree in Computer Science, IT, Electronics & Communication, or related engineering fields, or data-intensive disciplines such as Applied Mathematics, Economics, Physics, or Statistics.

Requirements:

  • Professional experience in developing and deploying machine learning models in production systems. Includes developing optimization algorithms or machine learning or deep learning models in production settings for 5+ projects.
  • Experience managing teams of 3 or more junior data scientists/engineers, including project planning and delivery.
  • Professional experience in using frameworks like PyTorch, TensorFlow, or Keras for building and optimizing machine learning pipelines.
  • Proficiency in data wrangling and preparation using Python-based libraries (e.g., Pandas, Dask).
  • Demonstrable experience in end-to-end system design:
  • Data analysis, feature engineering, technique selection and implementation, model debugging, and system maintenance in production environments.
  • Solid experience in solving analytical problems using algorithmic and statistical methods, emphasizing data-driven decision-making.
  • Understanding of bias in AI/ML systems, including methods to detect, mitigate, and monitor biases in production models.
  • Exposure to vendor management in large-scale IT/data projects.
  • Proven track record of engaging with leadership, including CXO-level stakeholders, to communicate results and insights.

Good to Have:

  • Professional experience in the development sector or government projects, with a focus on social good problem statements.
  • Experience in working on policy-oriented or technology-focused projects in collaboration with government or non-profit organizations.
  • Familiarity with large-scale IT systems or platforms in public or private sectors.