Total 97 job vacancies by NielsenIQ

We are looking for a creative, digitally‑savvy Learning Content Design Specialist to join our Client Training team. This role sits at the intersection of instructional design, content writing, and basic digital learning production, and plays an important role in helping NielsenIQ deliver modern, scalable learning experiences that support both our people and our clients. 

In this role, you will create learning content that translates NielsenIQ’s products, platforms, and ways of working into clear, practical learning for a global audience. You will translate technical subject matter into clear, engaging, action‑oriented learning assets across multiple digital formats, supporting both internal associates and external learners. 

This is an individual contributor role for someone who enjoys hands‑on content creation, and is energized by building learning for the modern, self‑directed learner. 

Key Responsibilities – What you will do: 

• Design and develop high‑quality learning content using sound instructional design principles and adult learning theory to help learners build knowledge and apply new skills 

• Support the development of learning assets across multiple formats, including microlearning, eLearning, virtual instructor‑led training (vILT), videos, job aids, and learning guides 

• Write clear, learner‑centric scripts and storyboards that effectively guide development and production 

• Translate highly technical content into simple, actionable language that supports real‑world application 

• Partner closely with subject matter experts to shape content that meets learner needs while maintaining technical accuracy 

• Collaborate with digital content creators, multimedia specialists, and other learning partners to bring designs to life 

• Contribute to the evolution of NielsenIQ’s learning approach, supporting the shift from instructor‑led to digital, blended, and self‑directed learning experiences 

• Apply stakeholder and learner feedback to continuously improve learning content and experiences 

• Maintain high quality standards for learning deliverables while managing multiple priorities and deadlines 

About this job:

This position will be responsible to work for delighting clients in India through delivering insights and analysis on retail data.

Main responsibilities include:

· Own and lead Retail Measurement analysis and insights for a set of clients for a specific FMCG industry across customers based in India.

· To own the planned/ad hoc category review presentations, by collaborating with Consulting lead (e.g., attending briefing session, preparing analysis plan and check-in review sessions) and identifying workforce allocation within Insight Associates.

· To own Thought Leadership output for the assigned industry within their cluster

· Coaching and supporting performance overview analysis and business issue analysis to Consumer-Packaged Goods clients and CXOs across Asia

· Working closely with the Consulting Lead and Customer Service to transform customer experience on insights delivery

Qualification / Requirements:

· Preferably a master’s degree - MBA/ MSc Stats

· 6+ years’ work experience, preferably within analytics and insights or market research

· Knowledge of the Consumer-Packaged Goods (CPG) industry

· Knowledge of research techniques and methodologies would be an advantage

· Excellent analytical skills

· Excellent communication skills and presentation skills

· Experience managing team of 5+associates would be preferred and developing talent

· An ability to work independently and in a team

· Good interpersonal skills are a must

· Fluent in spoken and written English

About NielsenIQ

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary Nielsen data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

About Job:

Senior Software Development Engineer, Pune, India 

 Responsibilities:

• Understanding business requirements and how they fit into the overall, global solution design  
• Embracing end-to-end the development and maintenance of any new feature including the estimation, the development and validation of new code, the design of testing scenarios up to the deployment into production  
• Following source and test-driven development best practices  
• Troubleshooting and identifying root cause analysis while resolving the issues  

We are looking for a detail-oriented Intercompany Analyst to support our global

finance operations. In this role, you will manage intercompany transactions,

reconciliations, settlements, and month-end close activities while partnering closely

with regional and global finance teams. This role is ideal for someone who enjoys

working with numbers, solving discrepancies, and driving process excellence in a

multinational environment.

Key Responsibilities

• Manage and process intercompany transactions, invoices, and journal entries.

• Perform monthly intercompany reconciliations and resolve mismatches with

global entities.

• Support month-end close activities, including preparing IC reports and

schedules.

• Coordinate with local and global finance teams to validate balances and ensure

timely settlements.

• Ensure compliance with accounting standards, internal controls, and transfer

pricing guidelines.

• Support internal/external audits with documentation and explanations.

• Identify process gaps, contribute to automation projects, and help strengthen IC

governance.

About this job:

This position will be responsible to work for delighting clients in India through delivering insights and analysis on retail data.

Main responsibilities include:

• Own and lead Retail Measurement analysis and insights for a set of clients for a specific FMCG industry across customers based in India.
• To own the planned/ad hoc category review presentations, by collaborating with Consulting lead (e.g., attending briefing session, preparing analysis plan and check-in review sessions) and identifying workforce allocation within Insight Associates.
• To own Thought Leadership output for the assigned industry within their cluster
• Coaching and supporting performance overview analysis and business issue analysis to Consumer-Packaged Goods clients and CXOs across Asia
• Working closely with the Consulting Lead and Customer Service to transform customer experience on insights delivery

Requirements:

• Preferably a master’s degree
• 5+ years’ work experience, preferably within analytics and insights or market research
• Knowledge of the Consumer-Packaged Goods (CPG) industry
• Knowledge of research techniques and methodologies would be an advantage
• Excellent analytical skills
• Excellent communication skills and presentation skills
• Experience managing team of 5+associates would be preferred and developing talent
• An ability to work independently and in a team
• Good interpersonal skills are a must
• Fluent in spoken and written English

About NielsenIQ 

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary Nielsen data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

 NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

We are seeking an experienced Senior Marketing Associate to be part of the Marketing Shared Services team, responsible for coordinating and executing marketing campaigns across regions and business units. This role focuses on delivering high-quality campaign execution, ensuring alignment with business goals, and collaborating effectively with cross-functional teams. 

The ideal candidate brings strong B2B and digital marketing fundamentals, the ability to manage multiple workflows, and a structured approach to campaign execution and reporting. 

This role offers the opportunity to grow into more strategic responsibilities, including campaign planning, stakeholder management, and ownership of key marketing and team engagement initiatives. 

Key Responsibilities 

• Campaign execution and coordination 

• Execute end-to-end marketing campaigns across channels, ensuring alignment with campaign objectives, timelines, and quality standards  

• Coordinate workflows across cross-functional teams (Creative, Brand, Martech, etc.) to ensure seamless delivery  

• Act as a key point of contact for campaign execution, ensuring clarity and alignment across stakeholders  

• Manage campaign timelines, deliverables, and SLAs to ensure timely and efficient execution  

• Support marketing initiatives aligned to sales priorities by coordinating campaign assets and enablement materials to drive pipeline impact  

• Campaign reporting, insights and research 

• Support basic campaign reporting by collecting, compiling, and analysing performance data  

• Track key metrics (e.g., impressions, clicks, leads, conversions) and highlight trends or anomalies  

• Conduct basic research on audience behaviour, campaign performance, and market/competitor activities to support campaign optimization  

• Partner with subject matter experts to derive actionable insights and improve campaign effectiveness  

• Maintain campaign trackers and dashboards to ensure visibility and transparency  

• Content and localization support 

• Develop marketing content and coordinate localization of workflows, including working with agencies and internal teams to ensure accuracy and consistency  

• Ensure adherence to brand and messaging guidelines across all deliverables  

• Process excellence and operations 

• Follow established campaign processes and frameworks, ensuring consistency and quality in execution  

• Identify opportunities for process improvements to enhance efficiency and scalability  

• Support operational activities such as campaign tracking and basic coordination of budgets and tools as part of execution  

• Continuously explore and adopt new AI use cases to improve productivity and scalability within marketing operations 

• Collaboration and contribution 

• Work closely with team members and global stakeholders to ensure smooth execution of marketing initiatives  

• Take ownership of assigned campaigns while contributing to overall team goals  

• Continuously build knowledge of marketing practices, tools, and industry trends, and use of AI in marketing 

About Job:

AI Platform & Agentic Systems Engineer (AI / ML), Pune, India (Hybrid)

Experience- 5+ years 

We are looking for a high-impact AI Platform & Agentic Systems Engineer who will help drive the AI transformation across our organization.

This role goes beyond traditional machine learning development. The engineer will design and build AI-powered platforms, intelligent agents, orchestration layers, and enterprise AI workflows that enhance productivity, automate processes, and unlock intelligence across systems and data.

You will work extensively with LLMs, SLMs, agentic AI architectures, vector databases, RAG pipelines, orchestration frameworks, and enterprise integrations to build scalable AI-enabled solutions.

The ideal candidate is someone who actively builds with AI, understands modern AI ecosystems deeply, and can convert AI capabilities into real-world production systems.

Key Responsibilities

Enterprise AI Platform Development

• Build and maintain internal AI platforms and services that enable teams across the organization to leverage AI capabilities

• Develop reusable AI APIs, SDKs, and microservices for enterprise adoption

• Integrate AI capabilities into existing systems, developer workflows, and business platforms

• Enable organization-wide adoption of AI-assisted workflows and automation

Agentic AI & Autonomous Systems

• Design and implement agent-based architectures capable of multi-step reasoning and task execution

• Build autonomous AI agents that interact with APIs, enterprise tools, and data systems

• Develop multi-agent systems capable of collaboration and workflow orchestration

• Implement tool-using agents that can dynamically select and use enterprise services

Examples may include:

• AI engineering assistants
• workflow automation agents
• data intelligence agents
• internal knowledge agents

AI Orchestration & Workflow Engines

• Design AI orchestration layers that coordinate models, tools, and workflows

• Build pipelines that manage:

o multi-step reasoning

o task decomposition

o tool execution

o memory and context management

• Work with orchestration frameworks such as:

o LangChain

o LlamaIndex

o CrewAI

o similar orchestration frameworks

• Enable structured interaction between LLMs, enterprise tools, APIs, and knowledge systems

LLM / SLM Systems

• Work with modern Large Language Models (LLMs) and Small Language Models (SLMs)

• Evaluate and select models based on:

o performance

o latency

o cost

o reliability

• Implement advanced techniques such as:

o prompt engineering

o prompt chaining

o context window management

o function calling

o tool invocation

Retrieval-Augmented Generation (RAG)

• Design and implement RAG architectures for enterprise knowledge retrieval

• Build pipelines that integrate LLMs with internal knowledge bases

• Optimize retrieval systems to improve contextual accuracy and response relevance

• Implement indexing pipelines and semantic retrieval strategies

Vector Databases & Knowledge Infrastructure

• Work with vector databases and embedding systems to enable semantic search

• Implement knowledge indexing pipelines using:

o Pinecone

o Weaviate

o Milvus

o Chroma

• Build scalable knowledge retrieval layers for AI applications

Machine Learning & AI Model Development

• Build ML pipelines using Python-based machine learning stacks

• Work with ML frameworks including:

o PyTorch

o TensorFlow

o Scikit-learn

o Hugging Face ecosystem

• Develop data pipelines, feature engineering workflows, and model training pipelines

• Evaluate model performance and experiment with different architectures

AI Infrastructure & Model Deployment

• Deploy AI workloads in cloud and containerized environments

• Build model inference pipelines and scalable AI services

• Work with infrastructure tools such as:

o Docker

o Kubernetes

o cloud AI platforms

• Implement monitoring, evaluation, and lifecycle management for AI systems

AI Development Environment & Tooling

• Work within AI-enabled development environments

• Leverage modern AI tooling including:

o VS Code AI ecosystem

o Copilot

o AI coding assistants

• Build internal tools that improve AI productivity across engineering teams

AI Safety, Guardrails & Evaluation

• Implement mechanisms to ensure safe and reliable AI outputs

• Build guardrails to reduce hallucinations and unsafe responses

• Develop AI evaluation frameworks and benchmarks

• Monitor AI system performance and continuously improve reliability