2,422 Demand Forecasting jobs in India

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.

We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet

What you’ll do for us:

• Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
• Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
• Use latest advancements in AI/ML to solve business problems
• Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
• Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
• Develop or optimize modules to call web services for real time integration with externa systems
• Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects

What you’ll have:

• Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
• Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
• Should be from a statistical background.
• Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
• Languages: Python and/or R for Data Science
• Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
• Characteristics: Independent thinkers Strong presentation and communications skills
• We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.

Nice to have:

• Experience with SQL, databases and ETL tools or similar is optional but preferred
• Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
• Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
• Experience in implementing planning applications will be a plus
• Understanding of Supply Chain Concepts will be preferable
• Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field

What we’ll do for you

• Competitive salary with stock options to eligible candidates
• Flat organization: With a very strong entrepreneurial culture (and no corporate politics)
• Great people and unlimited fun at work
• Possibility to make a difference in a scale-up environment.
• Opportunity to travel onsite in specific phases depending on project requirements.
• Support network: Work with a team you can learn from everyday.
• Diversity: We pride ourselves on our international working environment.
• Work-Life Balance:
• Feel part of A team:

How the process works

• Apply by clicking the button below
• You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.
• During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application.
• We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion.
• Our recruiter will let you know if you’re the successful candidate. Good luck!

More about us …

With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.

Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others.

Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore and Munich.

o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law

• Develop, refine, and implement advanced demand forecasting models to improve accuracy across various product lines.
• Analyze historical sales data, market trends, and promotional activities to identify key demand drivers.
• Collaborate with sales, marketing, and product teams to gather insights and align on forecast assumptions.
• Manage and optimize inventory levels to minimize carrying costs while ensuring product availability.
• Monitor key supply chain performance indicators (KPIs) and provide regular reports on efficiency and effectiveness.
• Identify opportunities for process improvement within the supply chain, including logistics and warehousing operations.
• Develop and maintain dashboards and reports to visualize supply chain data and insights.
• Evaluate and recommend changes to supply chain strategies to enhance responsiveness and reduce lead times.
• Work with suppliers and logistics partners to ensure timely delivery and optimize inbound/outbound flows.
• Stay abreast of industry best practices and emerging technologies in supply chain management and forecasting.

• Bachelor's degree in Supply Chain Management, Operations Research, Statistics, Economics, or a related quantitative field.
• Minimum of 5 years of experience in supply chain analysis, demand planning, or forecasting.
• Proven expertise in statistical forecasting methods and tools (e.g., ARIMA, exponential smoothing).
• Proficiency with data analysis and visualization tools such as Excel, SQL, Python/R, and BI platforms (e.g., Tableau, Power BI).
• Strong understanding of inventory management principles and best practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication and interpersonal skills, with the ability to present complex data to diverse audiences.
• Experience with ERP and WMS systems is a plus.
• Ability to work independently and collaboratively in a hybrid work environment.

• Develop and maintain accurate demand forecasts for a wide range of products using statistical models and forecasting software.
• Analyze historical sales data, market trends, promotional impacts, and external factors to refine forecasts.
• Collaborate with sales, marketing, and operations teams to gather insights and ensure forecast accuracy.
• Develop and implement inventory optimization strategies to minimize carrying costs while ensuring adequate stock levels and preventing stockouts.
• Monitor inventory performance metrics and identify opportunities for improvement.
• Analyze supply chain network performance and identify bottlenecks or inefficiencies.
• Develop and present regular reports on demand forecasts, inventory levels, and supply chain performance to stakeholders.
• Utilize advanced analytical tools and techniques to identify patterns and insights within supply chain data.
• Support the development and implementation of supply chain planning systems and processes.
• Evaluate the impact of new product introductions and promotional activities on demand and inventory.
• Identify opportunities for cost savings and efficiency improvements within the supply chain.
• Contribute to strategic supply chain planning initiatives.

• Bachelor's degree in Supply Chain Management, Operations Research, Statistics, Mathematics, Economics, or a related quantitative field.
• Minimum of 3-5 years of experience in supply chain analysis, demand planning, or inventory management.
• Strong understanding of forecasting methodologies and statistical modeling.
• Proficiency in using data analysis and visualization tools such as Excel, SQL, Python, R, Tableau, or Power BI.
• Experience with supply chain planning software (e.g., SAP APO, Oracle Demantra, Kinaxis).
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to work independently and manage multiple priorities in a remote environment.
• Knowledge of inventory management principles and techniques.
• Experience in the FMCG or retail sectors is a plus.

Role: Senior Data Scientist (Demand Forecasting)

Location: Bangalore (Hybrid)

What you’ll do for us:

● Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world

advantages/drawbacks

● Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market

Intelligence etc.

● Use latest advancements in AI/ML to solve business problems

● Examine problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons

● Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.

● Develop or optimize modules to call web services for real time integration with externa systems

● Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects

What you’ll have :

● Experience: 4 Years to 8 Years. Experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.

● Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal

assortments/pricing/inventory etc.

● Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field

● Languages: Python and/or R for Data Science

● Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.

● Characteristics: Strong presentation and communications skills

● We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.

What we’ll do for you:

● Competitive salary

● Tech tools: Complementary PC laptop.

● Flexibility: Work from home two days a week. Get up a bit later, skip the commute and put the time back into your deadlines.

● Get social: When we work from home, we play from home with fun after-work activities like Social Fridays. If you’re in the office, feel free to join these events in person.

● Flat organization: With a very strong entrepreneurial culture (and no corporate politics).

● Support network: Work with a team you can learn from and every day.

● Diversity: We pride ourselves on our international working environment.

• Analyzing historical data to forecast demand for various products.
• Developing and implementing inventory management strategies to optimize stock levels.
• Monitoring inventory turnover, carrying costs, and stockout rates.
• Setting optimal reorder points and safety stock levels for different SKUs.
• Conducting ABC analysis and implementing appropriate inventory control policies.
• Collaborating with procurement teams to ensure timely replenishment of stock.
• Working with warehousing teams to ensure efficient storage and handling of inventory.
• Identifying and resolving discrepancies in inventory records.
• Developing and maintaining inventory-related reports and dashboards.
• Evaluating and recommending improvements to inventory management processes and systems.

• Analyze inventory levels and usage patterns to optimize stock holding.
• Develop and maintain demand forecasts in collaboration with sales and marketing teams.
• Monitor inventory accuracy and conduct regular cycle counts.
• Identify and resolve discrepancies in inventory records.
• Implement strategies to reduce stock-outs and minimize excess inventory.
• Track and report on key performance indicators (KPIs) related to inventory management.
• Collaborate with warehouse and transportation teams to ensure timely order fulfillment.
• Utilize WMS and ERP systems to manage inventory data and workflows.

• Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or a related field.
• Minimum of 2 years of experience in supply chain, logistics, or inventory management.
• Proficiency in inventory management software and MS Excel.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Knowledge of warehouse operations and supply chain principles.
• Ability to work effectively in a team and independently.

Job Summary

Detail-oriented Inventory Manager with a strong background in medical devices . The role involves overseeing stock control, ensuring inventory accuracy and maintaining optimal stock levels to meet business and regulatory requirements.

Key Responsibilities

• Manage and track inventory of medical devices across warehouses and client sites.
• Ensure accurate stock records using inventory and ERP systems.
• Oversee the receiving, storing, labeling and dispatching of medical instruments.
• Maintain compliance with regulatory standards (e.g., CDSCO, MDR) for medical device handling and storage.
• Coordinate with procurement, sales and delivery teams for inventory planning and restocking.
• Conduct regular audits and physical stock verification to ensure inventory accuracy.
• Monitor inventory KPIs (e.g., stock turnover, shelf-life, usage rates) and report to management.
• Implement and improve inventory management procedures and documentation.
• Ensure proper storage conditions for sensitive medical devices (e.g., temperature/humidity-controlled items).
• Train and supervise warehouse/inventory staff on best practices in medical device handling.

Qualifications & Skills

• Bachelor's degree in Supply Chain Management, Logistics, Healthcare Management or a related field.
• Minimum 35 years of experience managing inventory in a medical device or healthcare-related environment.
• Strong knowledge of medical device classification, labeling and regulatory compliance.
• Hands-on experience with ERP/inventory management systems (e.g., SAP, NetSuite, Zoho Inventory).
• Strong analytical and organizational skills with attention to detail.
• Proficient in Microsoft Excel and inventory reporting.
• Excellent communication and problem-solving skills.
• Ability to manage multiple stakeholders and prioritize tasks in a fast-paced environment.