4+ Demand forecasting Jobs in India

About the Role

We are looking for a highly motivated Demand Forecasting Analyst with hands-on experience in building, improving, and managing demand forecasting models for retail businesses. The candidate will play a key role in leveraging data-driven forecasting techniques to optimize inventory, improve supply chain efficiency, and enhance business decision-making. 

The role requires strong business understanding of retail operations, combined with technical expertise in AWS cloud services, forecasting techniques, and stakeholder communications.

Key Responsibilities

• Develop, implement, and maintain demand forecasting models tailored to retail business needs.
• Analyze historical sales data, seasonal patterns, promotions, and external market factors to improve forecast accuracy.
• Collaborate with cross-functional teams (merchandising, supply chain, finance) to understand business requirements and translate them into forecasting solutions.
• Leverage AWS services (Amazon Forecast, S3, Lambda, Glue, Redshift, QuickSight, SageMaker, etc.) for data preparation, modelling, deployment, and reporting.
• Continuously monitor forecast performance and refine models to reduce forecast error (MAPE, WAPE, etc.).
• Provide actionable insights and recommendations to stakeholders for inventory management, pricing, and demand planning.
• Create dashboards and reports to track key forecasting KPIs for business teams.

Required Qualifications

• 1–2 years of experience in demand forecasting within retail (FMCG, e-commerce, fashion, or grocery retail preferred).
• Strong understanding of retail demand drivers such as seasonality, promotions, new product launches, and external factors.
• Hands-on experience with AWS services such as:
• Amazon Forecast for building forecasting models.
• Amazon S3, Glue, Redshift for data storage and ETL.
• Amazon SageMaker for model customization and fine-tuning.
• Amazon QuickSight for reporting and dashboards.
• Proficiency in Python for data analysis and modelling.
• Familiarity with forecasting methods (ARIMA, DeepAR, Prophet, ML-based forecasting, regression, etc.).
• Strong analytical skills with the ability to interpret data and provide business insights.
• Excellent communication and presentation skills to interact with both technical and non-technical stakeholders.

Good to Have

• Experience with time-series modelling in retail.
• Knowledge of inventory optimization and supply chain planning.

Why Join Us?

• Opportunity to work on cutting-edge demand forecasting projects in the retail domain.
• Leverage AWS cloud-native solutions for scalable, real-world impact.
• Collaborate with business and technology leaders to shape retail strategy.
• Fast-paced, growth-oriented environment with career development opportunities.

• Implement and constantly improve Processes and System to reduce inventory, minimize cost and maximize inventory utilization.
• Responsible for entire inventory movement cycle immediately after the PO is raised at HO.
• Tracking ETD & ETA of all Import Consignments as well as Internal Inventory movement within India Operations.
• Coordinate with Buying Team and Location Teams on Periodic Sales & Inventory Requirement Forecast – at least for a period of 3 months / 1 Qrtr in advance.
• analyze Inventory requirement at location as per Promotion Calendar in coordination with respective Buyer and Track / Monitor Efficacy of each Promotion.
• Interacts with each Location Team and ensure steady flow of valid and valuable feedback on sales and inventory.
• Execute & Maintain Category & Merchandising Planogram as prescribed by respective Buyer.
• Responsible for Setting up and Implementation of Auto Replenishment Process at all locations in coordination with Location team and IS team.
• Formulate, Generate and Share Inventory related MIS reports with HO Functions on periodic basis. For example – Self-life Expiry Report, Stock Availability Report, Flagging all potential alert situation

About antuit.ai

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

The Role:

Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.

Responsibilities:

Responsibilities includes, but are not limited to the following:

• Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
• Design, build reliable and scalable automated processes for large scale machine learning.
• Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. 
• Collaborate with Business, Technology and Product teams to stand-up MLOps process.
• Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
• Deep dive into complex algorithmic and product issues in production
• Own metrics and reporting for delivery team. 
• Set a clear vision for the team members and working cohesively to attain it.
• Mentor and coach team members

Qualifications and Skills:

Requirements

• Engineering degree in any stream
• Has at least 7 years of prior experience in building ML driven products/solutions
• Excellent programming skills in any one of the language C++ or Python or Java.
• Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
• Developed and productized large-scale models/algorithms in prior experience
• Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
• Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
• Good verbal, written and presentation skills.
• Ability to learn new skills and technologies.
• 3+ years working with retail or CPG preferred.
• Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.

Information Security Responsibilities

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in Information Security training and act accordingly while handling information.
• Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC