Job Title:  Technology & Transformation - Engineering - Senior Consultant - Data Scientist

The Team

Deloitte’s Technology & Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile:

As a Senior Consultant in our Technology & Transformation Team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -

• Design, develop and deploy solutions using different tools, design principles and conventions.
• Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand.
• Understand existing processes and facilitate change requirements as part of a structured change control process.
• Solve day to day issues arising while running robotics processes and provide timely resolutions.
• Maintain proper documentation for the solutions, test procedures and scenarios during UAT and Production phase.
• Coordinate with process owners and business to understand the as-is process and design the automation process flow.

Key skills required:

• 6–9 years of experience in Data Science / Machine Learning roles
• Strong proficiency in Python programming (NumPy, Pandas, Scikit-Learn, etc.)
• Hands-on experience with: Machine Learning algorithms (XGBoost, Random Forest, Gradient Boosting, etc.)
• Experience in end-to-end ML project deliery
• Strong expertise in model development, evaluation, and deployment
• Solid understanding of statistics, probability, and data modeling techniques
• Experience working with large-scale datasets
• Knowledge of data preprocessing, feature engineering, and model explainability
• Strong analytical thinking and problem-solving skills

Qualifications:

• B. E. / B. Tech / MCA / M.E / M. Tech / MSc in Computer Science.