Pricing Data Scientist

Job Title: Pricing Data Scientist

Job Type: Permanent

Job Location:Bangalore

Experience:10+Years

Job Overview

We are seeking a highly analytical and results-driven  Manager, Pricing Data Science to join our team. In this role, you will be responsible for leveraging data science, advanced analytics, and machine learning techniques to develop and optimize pricing strategies that maximize profitability, improve market competitiveness, and align with business objectives. The ideal candidate will have strong leadership capabilities, a deep understanding of pricing science, and a proven ability to manage teams to deliver high-impact, data-driven pricing solutions.

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Key Responsibilities

• Team Leadership: Manage and mentor a team of pricing analysts, fostering a culture of collaboration and continuous improvement.
• Pricing Strategy and Optimization: Lead and manage the creation of data-driven pricing strategies that align with the company's revenue and profit goals, taking into account market conditions, customer behavior, and competitor pricing. Build in house price optimization engine applying machine learning and optimization techniques to determine optimal pricing and discounting strategies for products and services
• Data Analysis & Insights: Analyze large (sometimes messy and incomplete) datasets, including sales, customer, and market data, to uncover insights and trends that can inform pricing decisions. Build and maintain pricing models to forecast demand elasticity, optimize price points, and identify opportunities for margin improvement.
• Competitive Intelligence: Oversee market research and competitive benchmarking to ensure pricing strategies are aligned with market trends and customer behaviors.
• Collaboration: Work closely with cross-functional teams such as Marketing, Product, and Finance to ensure pricing strategies are aligned with overall business objectives and market positioning.
• Reporting & Presentation: Prepare and present pricing analysis, insights, and recommendations to senior management and key stakeholders, ensuring that data-driven decisions are easily understood and actionable.
• Continuous Improvement: Stay current with developments in data science, machine learning, and pricing methodologies. Continuously assess the performance of pricing strategies and iterate based on feedback and market conditions.

​Education

• Bachelor's degree in Economics, Statistics, Mathematics, Data Science, Business, or a related field (Master's preferred).
• Experience:
• 5+ years of experience in analytics, pricing science, revenue management, or a similar analytical role.
• Experience in the industrial distribution/ manufacturing space, along with strong analytical and technical skills
• Proven track record of building pricing models, pricing optimization techniques, and demand forecasting.
• Familiarity with machine learning, regression models, and statistical analysis in the context of pricing.
• Experience in managing teams and leading cross-functional initiatives.

​Skills & Competencies

• Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R, Excel, etc.).
• Solid understanding of pricing strategies, elasticity, segmentation, and competitive analysis.
• Ability to interpret complex data and translate it into actionable pricing recommendations.
• Strong problem-solving skills and a creative, data-driven mindset.
• Excellent communication and presentation skills, with the ability to explain technical findings to non-technical stakeholders