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Demand forecasting jobs

5+ Demand forecasting Jobs in India

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AdTech Industry

AdTech Industry

Agency job
via Peak Hire Solutions by Dhara Thakkar
Mumbai
3 - 6 yrs
₹23L - ₹30L / yr
Demand management
DSP
Client Management
Demand generation
Demand forecasting
+3 more

ROLES AND RESPONSIBILITIES:

We are looking for a seasoned industry professional who has a high-performance background in ad tech business operations, partner account management & revenue optimization, team management & overall strategy driving the business. As a DSP agnostic platform, our focus is to grow the ad-exchange business while helping direct advertisers hit their KPIs.The candidate should have good analytical skills, can interpret and work with big data and should be technically inclined (coding not required) As a strategic advisor to your clients, you will have the ability to be proactive, work independently, and possess excellent customer-facing communication skills. You will act as the primary point of contact for your clients and will be responsible for ensuring their success.


JOB DESCRIPTION:

  • Own all strategic and operational aspects of client relationships, including overseeing integration and onboarding of new partners
  • Use strong analysis, interpretation and independent judgment to strategize and identify revenue opportunities for PnL growth
  • Liaise with internal teams like product and engineering to execute strategies and deliver custom client requirements
  • Ensure clients receive the highest level of customer service and support
  • Conduct research to gather intelligence on competitor products and constantly update yourself on the ad tech landscape


IDEAL CANDIDATE:

  • Bachelor's degree in Marketing, Advertising, or a related field.
  • Minimum 2-3 years of relevant experience in areas mentioned.
  • Proven account management experience working with top DSPs like Google DV 360/TTD/Criteo to grow their spends through company Exchange
  • Strong understanding of programmatic advertising concepts, including audience targeting, bidding strategies, and ad formats
  • Excellent communication and interpersonal skills, with the ability to build and maintain strong client relationships.
  • Proactive mindset, capable of identifying opportunities for improvement and taking initiative to implement them.
  • Strong organizational and time management abilities, with the capability to handle multiple projects and deadlines simultaneously.
  • Ability to work independently and as part of a team, with a high level of self-motivation and accountability.
  • Familiarity with other digital advertising platforms and technologies, such as social media advertising and ad exchanges, is a plus.


PERKS, BENEFITS AND WORK CULTURE:

  • Flexible work hours and leaves
  • Salary advance
  • Maternity/Paternity leave benefits & adoption assistance
  • Butler & Concierge services
  • Team Off-sites & Celebrations


BEYOND WORK:

  • Insurance benefits for you and family
  • Interest-free loans
  • Gift vouchers for special moments
  • Fully-equipped Gym
  • Education Sponsorship Programs
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WINIT
Aishwarya SURENDRAN
Posted by Aishwarya SURENDRAN
Hyderabad
1 - 3 yrs
₹5L - ₹8L / yr
Forecasting
Generative AI
Demand forecasting
Large Language Models (LLM)
Retrieval Augmented Generation (RAG)

Job Title: AIML Engineer

Location: Hyderabad

Experience: 1+ year



Role Overview:

 We are looking for a passionate and skilled AI/ML Engineer to join our dynamic team. In this role, you will play a key part in designing and implementing intelligent systems, including the development of a cutting-edge Sales Supervisor Agent. You will work on projects involving Generative AIVoice AIsales performance analysis, and recommendation systems that drive automation and strategic decision-making in sales operations.


Key Responsibilities

1. AI/ML System Development

  • Design, train, and deploy AI/ML models to identify patterns in sales behavior and trends.
  • Develop intelligent recommendation engines to optimize sales strategies.
  • Build real-time dashboards for sales performance monitoring and actionable insights.
  • Integrate APIs for seamless interaction with internal and external systems.

2. Programming & Development

  • Develop and deploy AI/ML models using Python.
  • Work with PyTorch or TensorFlow for deep learning applications.
  • Build and maintain backend services using FastAPI or Flask.
  • Follow collaborative workflows using Git for version control and team development.

3. AI/ML Expertise

  • Apply foundational knowledge of LLMsTransformers, and Retrieval-Augmented Generation (RAG).
  • Use NLP techniques to extract and understand customer insights.
  • Manage the end-to-end ML lifecycle, including data preprocessing, model training, hyperparameter tuning, and production deployment.

4. Generative AI & Voice AI

  • Experiment with Generative AI models (e.g., GPT, Claude) for tasks such as content creation, email generation, and chat-based assistance.
  • Build and integrate AI Voice solutions like speech-to-text, call summarization, and conversational agents using tools such as WhisperElevenLabs, or Dialogflow.
  • Integrate GenAI and Voice AI capabilities into the Sales Supervisor Agent for automation and decision support.

5. Data Engineering & Analysis

  • Write efficient SQL queries for data extraction and transformation.
  • Use libraries like Pandas and NumPy for data preprocessing and analysis.
  • Create meaningful visualizations to deliver actionable insights.

Preferred Skills

  • Hands-on experience in applied ML or pattern recognition projects.
  • Knowledge of time series analysis and forecasting techniques.
  • Familiarity with vector databases such as Faiss or Pinecone.
  • Experience with RESTful APIs and cloud platforms (AWS, Azure).
  • Exposure to modern AI dev tools like Cursor AIClaude CodeCopilotGeminiGrok.AI, or Codegiantio.

Qualifications

  • B.Tech/B.E. in Computer ScienceData Science, or related fields.
  • Strong foundation in AI/ML, data structures, and algorithms.
  • 1–3 years of relevant experience in AI/ML engineering or applied machine learning.

Key Personal Attributes

  • Strong analytical and problem-solving mindset.
  • Quick learner with a passion for emerging AI technologies.
  • Effective communicator and collaborative team player.
  • Proactive and self-driven approach to work.

About WINIT

WINIT is a market leader in Mobile Sales Force Automation (mSFA) with over 25 years of industry expertise. We enable 600+ enterprises globally to enhance sales performance through automationAI/ML, and real-time insights. Our next-gen AI-powered platform drives intelligent decision-making, optimized logistics, and compliance tracking. With continuous innovation and 24x7 global support, WINIT is shaping the future of sales using AIGenAI, and Voice AI technologies.

 


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Cococart India

at Cococart India

2 recruiters
Subin Sunny
Posted by Subin Sunny
Navi Mumbai
4 - 9 yrs
₹4L - ₹7L / yr
Inventory Management
Inventory control
Demand forecasting
Demand planning
Demand management
  • 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
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Antuit

at Antuit

1 recruiter
Purnendu Shakunt
Posted by Purnendu Shakunt
Bengaluru (Bangalore)
8 - 12 yrs
₹25L - ₹30L / yr
skill iconData Science
skill iconMachine Learning (ML)
Artificial Intelligence (AI)
Data Scientist
skill iconPython
+9 more

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

 

Antuit.ai is an at-will, equal opportunity employer.  We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
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WyngCommerce

at WyngCommerce

3 recruiters
Ankit Jain
Posted by Ankit Jain
Bengaluru (Bangalore)
4 - 7 yrs
₹18L - ₹25L / yr
skill iconData Science
Demand forecasting
Optimization
WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratise machine learning algorithms for our customers and help them realise dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Senior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities - - Lead and Own the Thought Process on one or more of our core Data Science problems e.g. Product Clustering, Intertemporal Optimization, etc. - Actively participate and challenge assumptions in translating ambiguous business problems into one or more ML/optimization problems - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Define and own metrics on solution quality, data quality and stability of ML pipelines - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences - - Bachelors or Masters in a quantitative field from a top tier college. - Minimum of 3+ years experience in a data science role in a technology company - Solid mathematical background (especially in linear algebra, probability theory, optimization theory, decision theory, operations research) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Solid foundation in data structures, algorithms, and programming language theory - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the focus areas of WyngCommerce Data Science team: (a) Product Clustering, (b) Demand Forecasting, (c) Intertemporal Optimization, (d) Reinforcement Learning, (e) Transfer Learning - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Experience using Cloud-based ML platforms (e.g., AWS Sagemaker, Azure ML), Cloud-based data storage, and deploying ML models in product environment in collaboration with engineering teams - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences
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