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Kimberly-Clark Hiring Analytics and Data Science Trainee in Pune | Freshers

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Kimberly-Clark

degree in Computer Science or a related quantitative field

Pune

Freshers

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Kimberly-Clark is hiring an Analytics and Data Science Trainee for its Pune Kharadi Hub. The role provides end-to-end analytical support for GBS and Enterprise Projects through GBS, with a focus on data science, machine learning, and data cleansing.

Job Details

Job DetailsInformation
CompanyKimberly-Clark
PositionAnalytics and Data Science Trainee
LocationPune Kharadi Hub
Employment TypeFull Time
Worker TypeEmployee
Worker Sub-TypeFixed Term
Job Requisition ID887306
Application DeadlineSeptember 30, 2026

Position

Analytics and Data Science Trainee

The selected candidate will support analytics and data science initiatives that help the business make data-driven decisions. The position focuses on data collection and cleaning, machine learning, exploratory data analysis, collaboration, and data visualization.

Responsibilities

  • Assist in gathering, cleaning, and preprocessing data for analysis.
  • Support the development of predictive models and algorithms.
  • Conduct exploratory data analysis to identify trends, patterns, and anomalies.
  • Work with data scientists and cross-functional teams to understand data requirements and implement solutions.
  • Create visualizations and reports to communicate analytical findings.
  • Provide end-to-end analytical support for GBS and Enterprise Projects through GBS.

Eligibility & Qualifications

Candidates should have:

  • A Bachelor’s degree in Computer Science or a related quantitative field, with a focus on data science or analytics.
  • Strong oral and written communication skills.
  • Attention to detail.
  • Ability to work through challenging situations or complex problems to achieve goals.
  • Ability to manage and prioritize multiple projects.
  • Ability to provide stakeholder updates and communications.
  • Ability to collaborate effectively with colleagues, customers, and stakeholders from diverse backgrounds.

Required Skills

  • Machine learning
  • Data science
  • Data cleansing
  • Data collection and preprocessing
  • Predictive model development
  • Exploratory data analysis
  • Data visualization
  • ML system building, training, and deployment
  • Data ingestion
  • Model training and ongoing validation
  • LLM-based workflows
  • Power BI
  • Analytical problem-solving
  • Stakeholder communication

Application Details

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