8 Pricing Optimization Jobs

As a Specialist in Revenue Acceleration at Mastercard, you will play a crucial role in driving revenue growth through data-driven insights and strategic decision-making. Your primary focus will be on Revenue Optimization and Insight Generation & Reporting, where you will collaborate with cross-functional teams to capitalize on revenue opportunities and enhance pricing strategies. You will be responsible for generating actionable insights from business analytics, providing data-backed recommendations for pre-sales efforts, pricing optimization, and customer engagement. Additionally, you will lead end-to-end project management, working closely with teams across Sales, Finance, Product, Technology, and Billing to deliver impactful outcomes. To excel in this role, we are seeking a dynamic professional with a blend of analytical, organizational, and collaborative skills. You should have a deep intellectual curiosity about Mastercard's Services business, strong analytical expertise to develop accurate financial models, and project management excellence to drive informed decision-making in a fast-paced environment. Building trust and fostering relationships with diverse teams, along with technical proficiency in Excel and financial modeling, are key requirements. With five or more years of relevant experience in finance, data analytics, or a related field, you will have the opportunity to work with a diverse team of experts at Mastercard who are committed to innovation, collaboration, and making a tangible impact. You will be part of a vibrant workplace that offers growth opportunities and the chance to solve meaningful challenges that drive global progress. In this role, you will be expected to abide by Mastercard's security policies and practices, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete all periodic mandatory security trainings to uphold information security standards. Join us at Mastercard and be a part of shaping the future of Revenue Management with your expertise and passion for data-driven solutions.,

As a dynamic and burgeoning hospitality brand, Mango Hill is on a mission to redefine the art of hospitality by acquiring exquisite properties and expanding our portfolio of exceptional hotels and resorts. We believe in crafting unparalleled experiences that resonate with the unique essence of each location, whether nestled in the serenity of natural landscapes or gracing vibrant urban settings. Our properties are designed to offer a harmonious blend of modern comfort and cultural richness, ensuring a memorable stay for every guest. Our commitment to excellence extends beyond comfortable accommodation to creating enchanted experiences through warm service, scrumptious spreads, and fun activities for the whole family. When you step into a Mango Hill hotel or resort, you embark on a journey of relaxation, rejuvenation, and discovery. Join us in exploring new horizons, creating lasting memories, and experiencing the allure of Mango Hill Resorts & Hotels, where hospitality is not just a service but a heartfelt invitation to indulge in the extraordinary. This full-time on-site role at Mango Hill Hotels in Chennai is for a Revenue Manager. The Revenue Manager will be responsible for day-to-day revenue management tasks to maximize hotel profitability and efficiency. Responsibilities include developing and implementing revenue management strategies, analyzing market trends, managing room inventory, optimizing pricing, collaborating with various teams, and focusing on enhancing the customer experience. Key Responsibilities: - Develop and implement revenue management strategies aligned with business goals. - Analyze market trends, demand patterns, and competitive positioning for pricing strategies. - Collaborate with sales and marketing teams to optimize promotional efforts and drive bookings. - Monitor and manage room inventory across distribution channels for revenue maximization. - Implement overbooking and capacity management strategies to optimize occupancy. - Ensure availability and rate parity across all online travel agencies and distribution platforms. - Develop dynamic pricing strategies based on market conditions, competitor pricing, and occupancy forecasts. - Utilize revenue management systems for automated pricing and inventory decisions. - Monitor and adjust rates in response to changes in demand, special events, and market fluctuations. - Collaborate with various teams to align strategies and enhance revenue performance. - Communicate pricing and inventory strategies to relevant departments for seamless execution. - Provide training and support to staff on revenue management principles and practices. - Focus on customer experience by considering guest satisfaction and loyalty in pricing strategies. - Develop targeted promotions with the marketing team to enhance the guest experience while driving revenue. Join us at Mango Hill Hotels and be part of our journey to deliver exceptional hospitality experiences and create lasting memories for our guests.,

At PwC, individuals working in data and analytics are dedicated to utilizing data to derive insights and facilitate informed business decisions. By employing advanced analytics techniques, they aid clients in optimizing operations and accomplishing strategic objectives. As a data analyst at PwC, your primary focus will involve leveraging advanced analytical methods to extract insights from extensive datasets and steer data-driven decision-making processes. Your responsibilities will entail utilizing skills in data manipulation, visualization, and statistical modeling to assist clients in addressing intricate business challenges. Your role emphasizes establishing meaningful client relationships while also developing the ability to lead and inspire others. As you navigate through increasingly complex scenarios, you are encouraged to enhance your personal brand, deepen technical expertise, and cultivate an acute awareness of your strengths. You are expected to anticipate the requirements of both your teams and clients, ensuring the delivery of high-quality results. Embracing ambiguity and uncertainty, you remain comfortable in situations where the path forward may not be clear, seeking opportunities for growth through inquiry and learning. To excel in this position, you are required to possess a diverse skill set, including but not limited to the following capabilities: - Effectively responding to varying perspectives, needs, and emotions of others. - Employing a wide array of tools, methodologies, and techniques to generate innovative ideas and resolve complex problems. - Applying critical thinking to deconstruct intricate concepts. - Grasping the broader objectives of your projects or roles and understanding how your efforts contribute to the overall strategy. - Enhancing your comprehension of the evolving business landscape. - Reflecting on your experiences to cultivate self-awareness, enhance strengths, and address areas for development. - Analyzing data to derive insights and formulate recommendations. - Adhering to professional and technical standards, the firm's code of conduct, and independence requirements. Candidates with a minimum of 4 years of practical experience are preferred for this Senior Associate position in the Telecom / Network Analytics / Customer Analytics industry. The successful candidate must exhibit the following skills and traits: Must Have: - Demonstrated experience with telco data such as call detail records (CDRs), customer churn models, and network analytics. - Profound understanding of predictive modeling for customer lifetime value and usage behavior. - Previous exposure to telco clients or telco data platforms (e.g., Amdocs, Ericsson, Nokia, AT&T, etc.). - Proficiency in machine learning techniques, statistical analysis, and programming in Python or R, including SQL for telco data manipulation. - Familiarity with big data technologies commonly used in telco environments (e.g., Hadoop, Spark). - Experience in telecom industry domains like customer churn prediction, ARPU modeling, pricing optimization, and network performance analytics. - Strong communication skills for effective interactions with technical and business teams. Nice To Have: - Familiarity with cloud platforms like Azure ML, AWS SageMaker, GCP Vertex AI. - Experience with telecom OSS/BSS systems or customer segmentation tools. - Knowledge of network performance analytics, anomaly detection, or real-time data processing. - Excellent client communication and presentation abilities. Key Roles And Responsibilities: - Collaborate on analytics projects within the telecom sector, contributing to the design, development, and delivery of data science solutions. - Develop and implement project and analysis plans under the guidance of a Project Manager. - Serve as a subject matter expert to consultants/clients in the US, advising on data sources, datasets, and use case clarifications. - Perform analysis using advanced analytics tools and provide guidance to junior team members. - Establish quality control measures to ensure the integrity of deliverables, including data quality and model robustness. - Validate analysis outcomes and recommendations with stakeholders, including the client team. - Create presentations for the client team and PwC project leadership, outlining key findings. - Contribute to knowledge-sharing and firm-building initiatives. Professional And Educational Background: - BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Master's Degree / MBA from a reputable institute.,

You will be joining Zupee, the largest online gaming company in India with a dominant presence in the Casual & Boardgame segment. At Zupee, we are dedicated to creating skill-based games that bring joy to people's lives, entertain them, and provide opportunities to earn while playing. In our pursuit over the past three years, Zupee has been committed to enhancing people's learning abilities, skills, and cognitive aptitude through scientifically crafted gaming experiences. Our games offer a refreshing break from the daily stressors and aim to bring happiness into the lives of our players. As a Lead Data Scientist at Zupee, you will play a pivotal role in driving innovation in AI ML-based algorithms and personalized offer experiences. Your responsibilities will revolve around designing and implementing advanced machine learning models, particularly focusing on reinforcement learning techniques such as Contextual Bandits, Q-learning, SARSA, and more. By utilizing your expertise in classical ML and statistical methods, you will be instrumental in creating solutions that optimize pricing strategies, enhance customer value, and generate tangible business outcomes. To excel in this role, you should have a minimum of 6 years of experience in machine learning and at least 4 years in reinforcement learning, personalization, recommendation systems, pricing algorithms, pattern recognition, or artificial intelligence. Proficiency in classical ML techniques, including Personalization, Recommendation, Pricing, using algorithms like XGBoost, Deep Learning, and hands-on experience in RL methods such as Contextual Bandits, Q-learning, SARSA, and Bayesian approaches for pricing optimization is essential. Moreover, you should be adept at handling tabular data, proficient in Python and SQL, and have a strong grasp of ML frameworks like scikit-learn, TensorFlow, and PyTorch. Your key responsibilities will encompass developing cutting-edge ML models for dynamic pricing and personalized recommendations, applying RL techniques to solve pricing and optimization challenges, building AI-driven pricing agents, and collaborating closely with cross-functional teams to align solutions with strategic objectives. Additionally, you will be involved in designing and analyzing controlled experiments to validate the effectiveness of your models. Join Zupee as a Lead Data Scientist and be part of a dynamic team that is poised to make a significant impact in the gaming industry by leveraging AI and ML technologies to drive business growth and enhance user experiences.,

At PwC, the focus of individuals in data and analytics engineering is to utilize advanced technologies and techniques for designing and developing robust data solutions for clients. They are instrumental in converting raw data into actionable insights, facilitating informed decision-making, and propelling business growth. Those specializing in data science and machine learning engineering at PwC concentrate on employing advanced analytics and machine learning techniques to extract insights from extensive datasets and drive data-driven decision-making. Your responsibilities will include developing predictive models, conducting statistical analysis, and creating data visualizations to tackle intricate business challenges. You will have a significant role in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that steer strategic decisions for both clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams, you will assist in developing impactful, commercially relevant insights to integrate into thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Preferred Knowledge and Skills: Demonstrates in-depth abilities and a proven track record of success in managing efforts to identify and address client needs: - As a critical member of a team of Retail and Consumer data scientists, you will maintain and analyze large, complex datasets to uncover insights related to consumer sentiment, future business trends/challenges, cyclical consumer events (e.g., holidays, back-to-school, Super Bowl), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Assist in identifying new, cutting-edge datasets to enhance the firm's differentiation among competitors and clients. - Assist in building predictive models and data-led tools. - Design and implement experiments (e.g., A/B testing, market basket analysis) to assess the effectiveness of new approaches and drive continuous improvement. - Collaborate with the US team to translate analytical findings into actionable recommendations and compelling narratives. - Develop dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Stay abreast of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Experience in managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills, proficiency in Python and/or R for data manipulation and modeling. - Experience in applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Previous work involving pricing optimization, inventory forecasting, or omnichannel analytics.,

At PwC, the focus of individuals in data and analytics engineering is on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Playing a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will concentrate on leveraging advanced analytics and machine learning techniques to extract insights from large datasets, driving data-driven decision making. You will be involved in developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. You will be crucial in organizing and maintaining proprietary datasets, transforming data into insights and visualizations that drive strategic decisions for clients and the firm. Working closely with industry leaders and various cross-functional retail and consumer advisory, tax, and assurance professional teams to develop high-impact, commercially relevant insights for thought leadership, external media engagement, demand generation, client pursuits, and delivery enablement. Demonstrates in-depth level abilities and/or a proven record of success in managing efforts with identifying and addressing client needs: - As a critical member of a team of Retail and Consumer data scientists, maintaining and analyzing large, complex datasets to uncover insights that inform topics such as consumer sentiment, future business trends/challenges, insights around cyclical consumer-related events (e.g., holidays, back-to-school, Super Bowl, etc.), business strategy, pricing, promotions, customer segmentation, and supply chain optimization. - Supporting in the identification of new, cutting-edge datasets that add to the firm's differentiation amongst competitors and clients. - Supporting in building predictive models and data-led tools. - Designing and conducting experiments (A/B testing, market basket analysis, etc.) to measure the effectiveness of new approaches and drive continuous improvement. - Partnering with the US team to translate analytical findings into actionable recommendations and compelling stories. - Developing dashboards and reports using tools like Tableau, Power BI, or Looker to support self-service analytics and decision-making. - Staying up to date and ahead of industry trends, customer behavior patterns, and emerging technologies in the consumer and retail landscape. - Having experience managing high-performing data science and commercial analytics teams. - Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling. - Experience applying machine learning or statistical techniques to real-world business problems. - Solid understanding of key retail and consumer metrics (e.g., CLV, churn, sales velocity, basket size, etc.). - Proven ability to explain complex data concepts to non-technical stakeholders. - Experience with retail and consumer datasets such as Circana, Yodlee, Pathmatics, Similar Web, etc. - Knowledge of geospatial or time-series analysis in a retail setting. - Prior work with pricing optimization, inventory forecasting, or omnichannel analytics.,

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Manager - SaAS Pricing - Agentic AI! Job Summary: In this role, you%27ll be part of Genpact%27s transformation under GenpactNext, as we lead the shift to Agentic AI Solutions&mdashdomain-specific, autonomous systems that redefine how we deliver value to clients. You%27ll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines. We seek a strategic SaaS Pricer to develop and manage pricing strategies, ensuring competitiveness and revenue growth. This role involves market analysis, customer segmentation, financial modeling, and cross-functional collaboration with Sales, Product, Marketing, and Finance teams. Key Responsibilities: . Pricing Strategy: Design and optimize pricing models aligned with business goals and market trends. . Market Analysis: Conduct research to assess competition, pricing gaps, and customer behavior. . Customer Segmentation: Develop tiered pricing based on usage, value, and willingness to pay. . Financial Modeling: Use analytics to forecast revenue impact and track key pricing KPIs. . Cross-Functional Collaboration: Align pricing with product features, sales strategies, and financial goals. . Pricing Communication: Document and communicate pricing strategies internally and externally. Qualifications we seek in you! Minimum Qualifications . Bachelor&rsquos in Business, Finance, or related field (MBA preferred). . SaaS pricing experience. . Expertise in subscription, tiered, and usage-based pricing models. . Proficiency in financial modeling and pricing tools. . Strong analytical, communication, and project management skills. Preferred Skills: . Pricing optimization experience. . Understanding of SaaS metrics (ARR, MRR, churn, CAC, LTV). . Knowledge of global pricing strategies and customer segmentation. Why join Genpact . Lead AI-first transformation - Build and scale AI solutions that redefine industries . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career&mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills . Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace . Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Title: Marketing Scientist / Associate Manager Pricing Strategy (L7/L8) Company: YUM India Global Services Pvt. Ltd. Location: Gurugram (Hybrid – 3 Days Onsite) Experience: 6–10 Years Job Type: Full-Time | Permanent About Us: We are Yum! Brands – the parent company of KFC, Pizza Hut, Taco Bell, and The Habit Burger Grill – operating in over 155 countries. YUM India is building the world’s largest restaurant digital commerce engine, delivering cutting-edge pricing, analytics, and consumer technology solutions for our iconic brands. Role Overview: We are seeking a data-driven Marketing Scientist / Pricing Strategist to join our Product & Client Success team. You will drive pricing optimization, perform consumer behavior analysis, and deliver actionable insights to improve revenue and market share across Yum’s brands globally. Key Responsibilities: Analyze seasonal trends, competitor pricing, and macroeconomic factors affecting brand demand. Conduct pricing-related consumer research and extract relevant insights. Collaborate with data scientists to build price models and simulate pricing scenarios. Design and implement data-driven pricing strategies that maximize revenue and market share. Partner with global brand and franchise teams to execute and monitor pricing initiatives. Track post-implementation performance and provide improvement recommendations. Must-Have Qualifications: Master’s degree (MBA, Economics, Marketing, or related). 6–10 years of experience in pricing, merchandising, consumer insights, or strategy. Strong analytical and quantitative skills with hands-on experience in pricing models. Excellent communication, stakeholder management, and cross-functional collaboration abilities. Exposure to franchise or retail/QSR business models is preferred. Preferred: Familiarity with pricing tools, databases (SQL, Excel, or visualization tools). Prior experience in QSR, FMCG, e-commerce, or consumer tech domains. Cultural adaptability to work with global teams. Work Location: Worldmark 2, Sector 65, Gurugram, Haryana Hybrid Work Model | 10 AM to 7 PM IST How to Apply: Apply directly via Naukri or email your resume to sneha@sairajobs.com