Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Job DescriptionJob Purpose:As a Lead Data Scientist within the Data Science Research team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.Job Responsibilities:Define, plan and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automationPrototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalizationTest-driven development of scalable data processing applicationsDeliver high quality documentation of new methodologies and best practicesCollaborate with experienced Developers, Data Scientists, and Technology engineersSupport various Operations team as main users of our solutionsEngage with stakeholders on scope, execution, data exchange, and outcomes for assigned projectsParticipate in multiple projects simultaneouslyMachine Learning & Artificial IntelligenceMachine Learning: Knowledge of various algorithms and their appropriate application for prediction and classificationDeep Learning: Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorchGenAI and AgenticAI:Knowledge of available applications and programming packages for implementation of LLM based solutions and data processing automationData Visualization & PresentationData Visualization: The ability to create clear and compelling charts and graphs using tools like Tableau, Power BI, or Matplotlib to communicate findings to stakeholdersDatabases & CloudDatabase Management: Proficiency with both SQL and NoSQL databases (like MongoDB) for data storage and retrievalCloud Computing: Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, a

Company DescriptionU WILL Commerce Classes | CBSE & GSEB is a pioneer in the field of modern teaching for commerce students since 2000. With 14 locations in Vadodara, we are committed to bringing out the best potential in every child. Whether it's 11th-12th Commerce CBSE or GSEB, BBA, B.Com, CA, or CS, our team of mentors provides friendly guidance and easy-to-grasp material for optimal learning.Role DescriptionThis is a full-time on-site role for a Teacher at U WILL Commerce Classes | CBSE & GSEB in Vadodara. The Teacher will be responsible for lesson planning, providing education, effective communication with students, teaching, and training.QualificationsExperience in lesson planning, education, and teachingStrong communication skillsAbility to provide effective trainingExcellent organizational and time management skillsPassion for teaching and mentoring studentsKnowledge of CBSE and GSEB curriculum is a plusBachelor's or Master's degree in related field

Trainer-Admission OutreachJob SummaryWe are seeking a passionate and dynamic Leader who can inspire and guide students, teachers, and the school community toward academic excellence and holistic growth. The ideal candidate will be an engaging public speaker with the ability to motivate diverse groups and foster a positive, collaborative learning environment.Key ResponsibilitiesDeliver impactful sessions and address students on various academic and developmental topics.Lead and motivate teachers to achieve institutional goals and maintain high academic standards.Foster a positive, inclusive, and growth-oriented learning environment.Collaborate with parents and the wider school community to ensure strong communication and partnership.Contribute to academic planning, skill development initiatives, and student engagement programs.Required Skills & ExperienceExcellent communication and public speaking abilities.Strong interpersonal skills with the ability to connect with students, teachers, and parents.Effective organisational and leadership skills.Ability to build rapport and encourage a collaborative learning culture.3-5 years of ExperienceQualificationMaster’s degree from a reputed institute.For Application - hrap7@paruluniversity.ac.in