28 Price Elasticity Jobs nearby Madurai

Role Overview: As a Data Scientist at Colgate-Palmolive, you will be a part of the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical, focusing on high-impact business projects that address key questions and provide actionable recommendations. Your role involves leading projects within the Analytics Continuum, developing machine learning models, predictive analytics, and optimization solutions to drive measurable value for the company. Key Responsibilities: - Conceptualize and build predictive models, simulations, and optimization solutions to tackle business use cases effectively. - Apply machine learning and artificial intelligence algorithms to develop scalable solutions for business deployment. - Lead end-to-end development of business solutions, from data extraction to statistical modeling, and create insightful business presentations. - Conduct model validations, continuously improve algorithms, and deploy models using Airflow and Docker on Google Cloud Platforms. - Own Pricing and Promotion, Marketing Mix projects from inception to delivery, presenting insights in a clear and actionable manner. - Utilize technologies like BigQuery and SQL to mine and analyze large datasets, developing visualizations for easy interpretation. - Collaborate closely with business partners across different geographies to drive projects and deliver value. Qualifications Required: - BE/BTECH in Computer Science or Information Technology, MBA or PGDM in Business Analytics/Data Science, or MSC/MSTAT in Economics or Statistics preferred. - 5+ years of experience in building statistical models and deriving insights. - Proficiency in statistical modeling techniques like linear regression, random forest, gradient boosting, logistic regression, etc. - Strong hands-on experience in Python and SQL coding languages, with knowledge of GitHub and Airflow for coding and model deployments. - Familiarity with visualization frameworks such as PyDash, Flask, PlotLy, and understanding of Cloud Frameworks like Google Cloud and Snowflake. - Experience in client-facing roles, collaborating with cross-functional teams in a dynamic environment. Additional Company Details: Colgate-Palmolive is committed to fostering an inclusive environment where diversity is celebrated, and all individuals feel a sense of belonging. The company values diverse perspectives and backgrounds to better serve consumers worldwide. Colgate-Palmolive is an Equal Opportunity Employer, dedicated to empowering individuals to contribute meaningfully to the business and ensuring a respectful workplace for all. Please note that reasonable accommodations are available for applicants with disabilities during the application process. If you require accommodation, please complete the request form provided.,

As a Data Scientist at Colgate-Palmolive, you will be a key part of the GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical, working on high-impact business cases to address critical questions with actionable insights and scalable solutions. Your role will involve leading projects within the Analytics Continuum, utilizing machine learning, predictive modeling, simulations, and optimization techniques to deliver measurable value for the company. **Key Responsibilities:** - Conceptualize and develop predictive modeling, simulations, and optimization solutions to tackle business challenges - Apply machine learning and artificial intelligence algorithms to create inferential and predictive models for scalable deployment - Lead end-to-end business solutions, including data extraction, preparation, mining, statistical modeling, and presentation of insights - Validate models and continuously enhance algorithms for improved performance - Deploy models using Airflow and Docker on Google Cloud Platforms - Take ownership of Pricing and Promotion, Marketing Mix projects from inception to delivery - Analyze large datasets to identify trends and patterns using technologies like BigQuery and SQL - Present insights in a clear and actionable manner to business teams - Create visualizations using tools like Looker, PyDash, Flask, PlotLy, and streamlit with large datasets **Qualifications Required:** - BE/BTECH in Computer Science or Information Technology, MBA or PGDM in Business Analytics/Data Science, MSC/MSTAT in Economics or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for statistical modeling - Hands-on experience with coding languages and tools like GitHub, Airflow, and visualization frameworks - Strong understanding of Cloud Frameworks like Google Cloud, Snowflake, and services such as Kubernetes, Cloud Build, Cloud Run - Experience in client-facing roles and collaborating with cross-functional teams **Additional Details:** Colgate-Palmolive is committed to fostering an inclusive environment where diversity is celebrated, and every individual is valued for their unique contributions. The company is dedicated to empowering its employees to be their authentic selves and ensuring a culture of respect and belonging. If you have a disability and require accommodation during the application process, please complete the request form provided. Colgate-Palmolive is an Equal Opportunity Employer. (Note: Additional details about the company's commitment to inclusion and equal opportunity have been provided in the original job description.),

As a Senior Analyst in Economic Advisory at EY-VME, you will play a crucial role in assisting clients in understanding the value of their business assets. Your responsibilities will involve working on multiple engagements related to Economic Impact assessments, econometric modelling/analysis, and research. You will be responsible for developing models using various techniques such as CBA Analysis, I/O Modelling, and CGE Modelling. Additionally, you will need to stay updated on current technology and tools to enhance service delivery and maintain positive relationships with EY offices globally. Key Responsibilities: - Work on Economic Impact assessments, econometric modelling/analysis, and research studies - Develop forecasting models using techniques like CBA Analysis, I/O Modelling, and CGE Modelling - Utilize current technology and tools to improve service effectiveness - Foster positive relationships with EY offices worldwide - Direct engagement progress, update supervisors, and manage staff performance - Continuously acquire knowledge for personal and team development To qualify for this role, you must have: - A postgraduate degree in Economics with 3 years of related work experience - Direct experience in the P&U domain with involvement in modeling, supply and demand estimation, pricing forecasting, and more - Proficiency in statistical software packages (e.g., Python or R), visualization tools, and MS Excel/VBA - Strong academic and professional background in Economics or related fields - Excellent communication, organizational, and teaming skills - Willingness to travel as required Qualification Required: - Postgraduate degree in Economics - 3 years of related work experience - Proficiency in statistical software packages and MS Excel/VBA - Strong academic background in Economics or related fields - Excellent communication and organizational skills - Willingness to travel EY offers a dynamic global delivery network that provides fulfilling career opportunities. You will have the chance to collaborate with EY teams on exciting projects and work with renowned brands from around the world. Additionally, you will have access to continuous learning opportunities, transformative leadership coaching, and a diverse and inclusive culture. Apply now if you meet the criteria and want to be part of the exceptional EY experience!,

As a Retail Business Analytics Engagement leader at our company based in Bengaluru, your role will involve the following responsibilities: Role Overview: You will be responsible for interacting with customers directly, engaging with technical stakeholders, managing delivery, and advising and consulting with Client Business teams for scoping and expectations management. Additionally, you will plan and lead projects from both a business and technical perspective, with support from Modelers, data engineering, and UI development teams. Gathering detailed requirements from customers, performing data analysis, validating and explaining AI/ML model results, and enhancing existing analytic techniques will also be key aspects of your role. You will be expected to guide the Product R&D team with Business domain insights and adopt new techniques developed by Product R&D to improve methodology and outcomes continuously. Improving timeliness, quality of insights, and business value to customers will also be a crucial part of your responsibilities. Key Responsibilities: - Interact with Customers directly, technical stakeholders, manage delivery, advice and consult with Client Business teams for scoping and expectations management - Plan and lead projects from a Business and technical perspective with support from Modelers, data engineering and UI development - Gather detailed requirements from customers and perform data analysis - Validate and explain the results produced by AI/ML models and deal with business teams directly as needed - Enhancing existing analytic techniques by introducing new methodology and best practices - Benchmark project delivery with metrics and improve methodology and outcomes on a continuous basis - Guide Product R&D team with Business domain insights - Adopt new techniques developed by Product R&D in the existing methodology - Improve timeliness, quality of insights, and business value to customers Qualifications Required: - Good Knowledge of Business Forecasting, Price promotions, Market mix, Supply chain analytics in the FMCG and retail context - Good knowledge of statistical and ML modelling techniques, Python programming, Advanced skills in Excel, relevant knowledge of econometrics like price elasticity and promotion effectiveness - Strong knowledge of the modelling techniques used in the Retail and FMCG space - Should have used data from data providers like Nielsen, IRI, Kantar etc within the retail and consumer data - Strong project management skills and familiarity with project management tools As an early-stage entrepreneurial company, we offer market-leading compensation that includes cash, bonus, and equity. This is a full-time, senior position that requires a candidate with a strong background in Retail Business Analytics and project management.,

Role Overview: You will be a senior technical and thought leader responsible for driving the scientific roadmap for Nykaa's core business operations. Your main focus will be on tackling complex challenges in Supply Chain Optimization, Demand Forecasting, Marketing Personalization, and Fraud Detection. This role requires a deep technical understanding and hands-on approach to developing scalable solutions that directly impact inventory efficiency, marketing ROI, and platform integrity. Additionally, you will play a crucial role in mentoring and elevating the data science community at Nykaa. Key Responsibilities: - Identify and frame high-impact problems across supply chain, marketing, and platform integrity to create measurable ROI. - Develop advanced demand forecasting models using statistical and machine learning methods like Prophet, ARIMA, LSTMs, and transformer-based time-series architectures. - Optimize supply chain and fulfillment networks through data-driven algorithms for warehouse placement, SKU allocation, and inventory planning utilizing genetic algorithms, mixed-integer programming, and reinforcement learning. - Enhance delivery predictability by modeling Estimated Delivery Date (EDD) using spatiotemporal and supply-side signals. - Drive marketing science initiatives by developing models for coupon optimization, price elasticity, uplift modeling, and marketing attribution. - Detect and prevent fraud and abuse through graph-based anomaly detection, temporal embeddings, and unsupervised outlier detection. - Model and minimize product returns by combining behavioral data, text/image feedback, and fulfillment patterns. - Build decision-intelligence systems that integrate forecasting, supply, and marketing signals for real-time business decisioning and scenario planning. - Lead cross-functional initiatives, mentor scientists and engineers, guide technical reviews, and ensure scientific work translates into production-grade solutions. - Collaborate closely with Product, Engineering, Operations, and Marketing leaders to integrate models seamlessly and deliver sustained business impact. Qualifications & Skills: - 10+ years of experience in Applied ML, Operations Research, or Quantitative Modeling, with a track record of delivering large-scale ML systems in production. - PhD or Masters in a quantitative discipline like Operations Research, Statistics, Econometrics, Computer Science, or Applied Mathematics. - Expertise in Time-Series Forecasting, including classical and modern methods. - Experience in Optimization & OR techniques such as Linear/Integer Programming, Genetic Algorithms, Reinforcement Learning, and heuristic optimization. - Strong understanding of Causal Inference, Bayesian Modeling, and Probabilistic Forecasting. - Proficiency in Python, PyTorch, TensorFlow, XGBoost, Prophet, Scikit-learn, and PyMC/Stan. - Comfortable working in large-scale data environments like Databricks, AWS SageMaker, Spark, and MLflow for model tracking and deployment. - Ability to translate data science into tangible business outcomes and communicate effectively with stakeholders. - Prior experience in e-commerce, retail, logistics, or marketing analytics is a plus.,

As a Data Scientist, your role involves leveraging structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. You will be responsible for developing and delivering impactful analytical tools and solutions by leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making. Key Responsibilities: - Design and apply advanced predictive and machine learning models including clustering (K-means, hierarchical), classification (KNN, Naive Bayes, CART), time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels. - Utilize generative AI and large language models (LLMs) to develop and implement personalized content and messaging strategies across diverse media channels, enhancing audience engagement and campaign effectiveness. - Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC. - Analyze consumer behavior trends and shifts across various digital touchpoints; perform cross-channel attribution analysis to inform targeted retention strategies. - Monitor and analyze key engagement metrics to assess the performance of subscriber onboarding programs and their impact on long-term retention. - Interpret complex analytical insights and translate them into clear, actionable business strategies that improve business outcomes. - Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination. Qualifications Required: - Strong proficiency in statistical modeling, machine learning, and data science techniques. - Experience with tools and technologies such as Python, R, SQL, and data visualization tools. - Excellent communication, leadership, and team-building skills to collaborate cross-functionally with technical and non-technical stakeholders. (Note: No additional details of the company were provided in the job description.),

As a Financial Analyst, your role involves effectively managing financial forecasts and reports for rlbe. You will provide business finance support to various functions from an FP&A perspective. Key Responsibilities: - Sales forecasting at SKU/Brand/Channel/Account/Region/State level, including gross realisation, GTN, Price Increase, Elasticity, Cost Increase Assumptions, and Gross Margin Profile. - Forecast budgets for various P&L lines/departments/expense types with proper business justification. Analyze sales and P&L profile vs previous benchmarks. - Ensure accuracy and hygiene of the monthly accounting process, including Std cost, TCGM, and review of monthly provisions prior to book close. - Responsible for balance sheet forecast and actual analysis vs forecast, aging of balance sheet items, and follow up for pending claims/outstanding/open amounts. - Prepare rlbe balance sheet review and deep dive submissions, reviewing various balance sheet buckets including other accrual liabilities. - Review vendor advances for settlements against the invoices, open PO tracking against the accruals and commitments. - Manage standard cost change exercise during rlbe and standard cost roll up for year-end. - Assist in scenario analysis, Brand Profitability, Channel Profitability, Regional P&L, and other financial decisions for all BUs. - Drive continuous improvement in functional reporting by simplifying processes and leveraging existing systems. Prepare the monthly Business Health monitor/Dashboard. - Responsible for CFM policy and DPO policy compliances, accrual analysis, capital expenditure and depreciation planning and monitoring, tax-related matters, and implications on P&L. - Monitor Std Cost, Gross Margin performance, Freight & distribution, SG&A budget vs actual monthly for all departments/cost centers. - Work on accrual management with CFS/functional teams on Financial Closing on a monthly basis. - Understand business key drivers and their impact, driving company policies effectively. - Monitor business performance, investigate variances, and provide analysis of differences focusing on improving performance. - Support the audit process (Internal and Statutory) from the view of Business Finance. - Generate strong insightful management analysis reports providing insights to all stakeholders.,

Role Overview: As an Analyst/Consultant within the Marketing Analytics practice of Accenture Strategy & Consulting in Gurgaon, you will assist clients in growing their business by leveraging analytics to drive high performance and make informed decisions based on data insights. You will collaborate with forward-thinking consultants to provide analytically informed insights at scale, helping clients improve outcomes and achieve high performance. Key Responsibilities: - Define data requirements for Data Driven Merchandizing capabilities - Clean, aggregate, analyze, and interpret data - Conduct data quality analysis - Focus on Pricing/Promotions/Assortment Optimization capabilities across retail clients - Utilize Statistical Timeseries models, store clustering algorithms, and descriptive analytics to support merch AI capability - Develop AI/ML models in the Azure ML tech stack - Manage data pipelines and data within different layers of the Snowflake environment - Work on common design patterns for scalable machine learning architectures - Deploy and maintain machine learning models in production - Utilize cloud platforms for pipelining and deploying elasticity models - Create insights presentations and client-ready decks - Mentor and guide junior resources Qualifications Required: - At least 3 years of experience in Data Driven Merchandizing - Knowledge of price/discount elasticity estimation and non-linear optimization techniques - Proficiency in statistical models, store clustering algorithms, and descriptive analytics - Hands-on experience in state space modeling, mixed effect regression - Familiarity with developing AI/ML models in the Azure ML tech stack - Strong communication skills - Logical thinking and analytical skills - Basic task management skills for planning, prioritizing, tracking progress, and reporting (Note: Any additional details of the company were not mentioned in the provided job description),