Pricing Data Science Principal Consultant

Pricing Data Science Principal Consultant

Infosys is seeking an innovative and experienced Principal Consultant specializing in Pricing Data Science to join our team. The ideal candidate will leverage advanced analytics, machine learning, and data-driven strategies to optimize pricing models, drive revenue growth, enhance profitability, and improve market share for our clients.

Key Responsibilities

• Strategic Leadership: collaborate with clients to understand business objectives, challenges, and opportunities within the supply chain domain.

• Design and implement data science strategies aligned with client goals to enhance supply chain performance.

• Serve as a trusted advisor, providing thought leadership in supply chain analytics and data-driven decision-making.

• Design and guide team on developing advanced analytics solutions, including predictive modeling, machine learning algorithms, and optimization techniques.

• Utilize big data platforms, statistical software, and programming languages to analyze supply chain data and generate actionable insights.

• Ensure the robustness, scalability, and accuracy of developed models and tools.

• Lead cross-functional teams in delivering end-to-end projects on time and within budget.

• Manage project scope, timelines, and deliverables while ensuring high-quality outcomes.

• Develop clear communication and reporting strategies to keep stakeholders informed and engaged.

• Present data-driven insights and recommendations to executive-level stakeholders.

• Build and maintain strong client relationships, ensuring long‑term collaboration and value creation.

• Conduct workshops and training sessions to upskill client teams on data science capabilities.

• Stay abreast of emerging trends and technologies in supply chain management and data science.

• Contribute to white papers, webinars, and industry conferences to establish Infosys’ reputation as a leader in pricing analytics.

• Identify opportunities for innovation and continuous improvement within the pricing domain.

Required Qualifications

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Location:

within commuting distance of Richardson, TX or Raleigh, NC or Phoenix, AZ or Indianapolis, IN, or Hartford, CT or willing to relocate to the area.

• Bachelor’s degree or foreign equivalent from an accredited institution, or three years of progressive experience in the specialty in lieu of every year of education.

• Authorized to work for any employer in the United States without employer-based visa sponsorship.

• At least 11 years of experience with Information Technology.

• Experience focused on pricing, promotion, revenue optimization, including leadership roles.

• Hands‑on experience analyzing pricing and promotion data and advising clients on pricing and promotion decisions.

• Strong understanding of pricing methodologies, revenue management principles, price benchmarking, and competitive pricing analysis.

• Ability to understand and conceptually design analytics algorithms for pricing and promotion.

• Proficiency in price sensitivity analysis, cost‑plus pricing, value‑based pricing, promotional effectiveness analysis, and tiered pricing strategies.

Preferred Qualifications

• At least 9 years of experience focused on pricing, promotion, revenue optimization, including leadership roles.

• Familiarity with subscription‑based pricing models, bundling strategies, and revenue forecasting models; experience in Agile, managing team effort and tracking through JIRA.

• Advanced degree (Master’s or Ph.D.) in Data Science, Economics, Statistics, Operations Research, Business Analytics, or related field.

• Exceptional communication and presentation skills, with the ability to convey complex concepts to non‑technical audiences.

About Infosys

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change.

We also empower the business with…