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Data Science Consultant – Supply Chain & Operations Analytics

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Experience: 7+ Years
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Pan-India

Capabilities

  • You must have strong experience in data science and analytics applied to Supply Chain & Operations, including demand forecasting, inventory optimization, and logistics analytics.
  • Expertise in statistical modeling, predictive analytics, and machine learning techniques for supply chain problem solving.
  • You must have hands-on experience in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
  • You should be skilled in data integration, ETL processes, and working with large-scale supply chain datasets.
  • Ability to develop end-to-end analytics solutions, from data collection and preprocessing to modeling and actionable insights.
  • Strong understanding of supply chain processes, KPIs, and operational metrics.
  • Experience in communicating complex analytics results to business stakeholders and supporting decision-making.
  • Ability to collaborate with cross-functional teams, including IT, operations, and business leaders.

Qualifications

MBA from Tier 1 institute/Master’s degree

Skills

Supply Chain, Analytics , Machine Learning, Python

Your Team

As a leading global professional services company, you are invited to join a vibrant team and explore a diverse range of opportunities in strategy, consulting, digital, technology, and operations. You will be a part of a collaborative environment that combines unmatched experience and specialized skills across 40+ industries. This leading enterprise, at the intersection of business and technology, is dedicated to helping clients enhance performance and create sustainable value for stakeholders.

Your Job

  • You will analyze supply chain and operations data to identify trends, inefficiencies, and improvement opportunities.
  • Ability to develop and implement predictive models, optimization algorithms, and machine learning solutions for supply chain decision-making.
  • Collaborate with stakeholders to define analytics requirements, problem statements, and KPIs.
  • Perform data preprocessing, integration, and transformation for accurate and reliable analysis.
  • You will create dashboards, visualizations, and reports to communicate insights effectively to business teams.
  • Support decision-making for inventory management, demand forecasting, logistics, and procurement processes.
  • Ensure scalability, reliability, and maintainability of analytics solutions in production environments.