Kimberly-Clark Is Hiring Analytics and Data Science Trainee in Pune

Role Overview

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.

Key details:

• Company: Kimberly-Clark
• Role: Analytics and Data Science Trainee
• Location: Pune Kharadi Hub
• Employment type: Full Time, Fixed Term
• Requisition ID: 887306
• Application deadline: September 30, 2026

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.

Key Responsibilities

As an Analytics and Data Science Trainee at Kimberly-Clark, you will:

• Assist in data collection, cleaning, and preprocessing to ensure high-quality, analysis-ready datasets
• Support the development of predictive models and algorithms to analyze data and generate actionable insights
• Conduct exploratory data analysis to identify trends, patterns, and anomalies within datasets
• Collaborate closely with data scientists and cross-functional teams to understand data requirements and implement effective solutions
• Create data visualizations and reports to clearly communicate insights and findings to stakeholders
• Provide end-to-end analytical support for GBS and Enterprise Projects

Requirements and Skills

To succeed in this role, you will need:

• Education: Bachelor's degree in Computer Science or a related quantitative field, with a focus on data science or analytics
• Technical skills: Machine learning, data science, data cleansing, data collection and preprocessing, predictive model development, exploratory data analysis, data visualization
• Tools: Power BI (PBi) including dashboarding and data visualization
• Emerging skills: Experience building workflows using Large Language Models (LLM-based workflows) is preferred
• Soft skills: Strong oral and written communication, attention to detail, ability to manage and prioritize multiple projects, ability to collaborate with diverse colleagues and stakeholders

The role is available for local candidates already authorized to work in India. Kimberly-Clark will not provide relocation support for this role.

How to Apply

Apply through Kimberly-Clark's official careers portal:

• Kimberly-Clark Careers — https://www.kimberlyclark.com/careers
• Search Requisition ID 887306 — https://www.kimberlyclark.com/careers

Search for the Analytics and Data Science Trainee position (requisition ID 887306) and submit your application before the deadline of September 30, 2026. Kimberly-Clark does not charge any fee to apply.

How to Verify Any Kimberly-Clark Job Offer

Kimberly-Clark is a well-known brand that is frequently impersonated in job fraud. Run this checklist before you share any documents or pay any fee:

1. Check the official careers portal — every legitimate Kimberly-Clark job is listed on kimberlyclark.com/careers. If the role is not there, treat it with suspicion.
2. Match the requisition ID — the official listing carries requisition ID 887306. Ask for the ID and verify it on the official site.
3. Match the email domain — legitimate Kimberly-Clark recruiters email from @kimberly-clark.com addresses. Gmail, Yahoo or Outlook addresses claiming to represent Kimberly-Clark are scams.
4. Never pay to apply — Kimberly-Clark does not charge application fees, training fees, security deposits or processing charges. Any fee request is fraud.
5. Beware of WhatsApp recruiters — being contacted on WhatsApp with a job offer, especially with a fee request, is the most common scam pattern.
6. Check the domain — lookalike domains like kimberlyclark-jobs.com or kimberlyclarkcareers.in impersonate the real portal. Always navigate to kimberlyclark.com/careers directly.