Data Science Consultant/Manager

Overview :

Consultant / Manager - Sourcing and Procurement Analytics will be responsible for leading data-driven initiatives to optimize procurement and supply chain operations. This role requires a strong understanding of statistical methods, analytical techniques, and data science applications to drive meaningful insights. The manager will take a lead on client engagement on their projects, provide technical guidance, and lead a team of analysts to solve complex procurement and supply chain challenges using advanced analytics.

Roles and Responsibilities :

• An expert in sourcing and procurement operations domain and Data Science skills.

• Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for sourcing and procurement analytics.

• Interface with clients to understand business problems and translate it into analytics problems that shall deliver insights for action and operational improvements.

• Implement advanced analytics to perform spend analytics, category analytics, contract analytics, supplier management analytics, price forecasting, supply risk analytics, etc.

• Take initiatives and collaborate with different Company Internal teams and support driving sales.

• Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development.

• Utilize statistical models, machine learning, simulation and optimization techniques to enhance procurement and supply chain operations.

• Implement analytics to evaluate supplier performance, optimize procurement costs, and mitigate supply chain risks.

Team Leadership & Development :

• Mentor and guide a team of analysts and consultants in developing analytical solutions.

• Foster a culture of innovation and continuous learning within the team.

• Ensure knowledge sharing and best practices are followed across projects.

Technology and Process Optimization :

• Drive digital transformation in procurement using AI, machine learning, and cloud-based analytics solutions.

• Leverage SQL and advanced analytics tools for data preparation, manipulation, and descriptive analysis.

• Collaborate with IT and procurement teams to improve data integration and system automation.

Experience and Education :

• A Minimum 4 - 14 years of experience in industrial/consulting or related areas is needed with at least 3 - 8 years of supply chain advanced analytics solutions design and delivery experience.

• Good to have global client experiences. Experience specifically in sourcing and procurement domain is preferred.

• Master's degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M. Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science).

• Certifications in one or more areas will be an added advantage : Python, AI/ML, Simulation, Optimization, any of the Cloud platforms (Azure, GCP, AWS).

Mandatory Skills :

• Proven ability to drive analytics-driven procurement transformation projects.

• Deep understanding of advanced analytics solutions - descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models.

• Experience with cloud-based solutions (Azure, GCP, AWS) for procurement analytics.

• Hands-on programming experience with any of the analytics tools, databases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau).

• Excellent written and verbal communication skills, with the ability to interact with senior stakeholders.

Good to Have :

• Proficiency in data visualization tools like Tableau/Power BI.

• Experience with procurement tools such as Ariba, Coupa, Zycus, or Ivalua.

• Prior experience in client-facing roles and managing large-scale procurement analytics initiatives.