Kimberly-Clark Analytics and Data Science Trainee Hiring 2026 – Pune

Kimberly-Clark Analytics and Data Science Trainee Hiring 2026 – Pune

Introduction

Kimberly-Clark is hiring for the role of Analytics and Data Science Trainee at its Pune Kharadi Hub. This is a full-time, fixed-term opportunity focused on providing analytical support for GBS and Enterprise Projects, with an emphasis on data science, machine learning and data cleansing.

The role involves data collection and preprocessing, predictive model development, exploratory data analysis, data visualization and collaboration with data scientists and cross-functional teams. The position also mentions experience with ML systems, data ingestion, model training, LLM-based workflows and Power BI.

Quick Job Snapshot

About the Role

The Analytics and Data Science Trainee will provide end-to-end analytical support for GBS and Enterprise Projects through GBS. The main focus areas include data science, machine learning and data cleansing.

The position involves working with datasets, developing and supporting predictive models, conducting exploratory analysis and creating visualizations and reports. The trainee will also collaborate with data scientists and cross-functional teams to understand data requirements and implement solutions.

The role specifically highlights ML systems, data ingestion, model training, ongoing validation, LLM-based workflows and Power BI.

Key Responsibilities

• Assist in gathering, cleaning and preprocessing data for analysis to ensure high-quality datasets.
• Support the development of predictive models and algorithms to analyze data and derive insights.
• Conduct exploratory data analysis to identify trends, patterns and anomalies in datasets.
• Work closely with data scientists and cross-functional teams to understand data needs and implement solutions.
• Create visualizations and reports to communicate findings effectively.

Qualification Requirements

Education: Bachelor’s degree in Computer Science or a related quantitative field with a data science or analytics focus.

Data Science and ML Knowledge: The role highlights experience building, training and deploying ML systems, along with data ingestion, model training and ongoing validation.

LLM and Analytics: Experience building LLM-based workflows is mentioned as a functional/business skill. The position also requires extensive Power BI skills.

Communication: Candidates should demonstrate strong oral and written communication skills and attention to detail.

Problem-Solving: The role requires the ability to work through challenging situations or complex problems to achieve goals.

Project Management: Candidates should be able to manage and prioritize multiple projects while providing stakeholder updates and communications.

Collaboration: The position requires the ability to collaborate effectively with diverse colleagues, customers and stakeholders.

Skills to Highlight in Your Resume

Candidates applying for the Analytics and Data Science Trainee role can highlight relevant skills supported by the job description, including:

• Data Science
• Machine Learning
• Data Cleansing
• Data Collection and Preprocessing
• Predictive Modeling
• Model Training
• ML System Deployment
• Data Ingestion
• Model Validation
• Exploratory Data Analysis
• Data Visualization
• LLM-Based Workflows
• Power BI
• Data Analysis
• Stakeholder Communication
• Problem-Solving

Data science candidates can also explore our Data Science interview questions and answers guide for additional preparation.

Why Consider This Opportunity?

The role provides exposure to multiple areas of analytics and data science, including data preparation, exploratory analysis, predictive modeling, machine learning, data visualization and LLM-based workflows.

Working with data scientists and cross-functional teams can also provide experience in understanding business data needs and communicating analytical findings. The position is associated with GBS and Enterprise Projects, giving the role a business-focused analytics context.

Candidates interested in developing their technical capabilities can also review our guide to skills in demand in 2026.

How to Apply

1. Open the official Kimberly-Clark application page for the Analytics and Data Science Trainee position.
2. Review the education, technical skill and communication requirements.
3. Prepare an updated resume highlighting data science, machine learning, Power BI and relevant analytics experience or projects.
4. Complete the online application process with accurate information.
5. Submit your application through the official Kimberly-Clark careers portal before the deadline.
6. Monitor your registered email address and phone number for further communication from the recruiting team.

Apply for Analytics and Data Science Trainee

Verify the latest job status and application deadline on the official Kimberly-Clark job page before applying.

For fresh graduates exploring career and salary information, our CTC vs in-hand salary guide provides a useful overview of salary terminology.

Frequently Asked Questions (FAQs)

1. What is the qualification required for the Kimberly-Clark Analytics and Data Science Trainee role?
Candidates should have a Bachelor’s degree in Computer Science or a related quantitative field with a data science or analytics focus.

2. Can freshers apply for this Analytics and Data Science Trainee position?
The supplied job description does not specify a fresher or experience range. Therefore, experience eligibility is Not specified by the company.

3. What skills are required for the role?
The job description highlights machine learning, data ingestion, model training and validation, LLM-based workflows, extensive Power BI skills, data analysis, data visualization, communication and problem-solving.

4. Where is the Kimberly-Clark Analytics and Data Science Trainee job located?
The primary location is Pune Kharadi Hub. The work mode is not specified by the company.

5. What is the salary for this position?
The supplied job description does not mention a salary amount. Therefore, salary is As per Company Standards.

Conclusion

The Kimberly-Clark Analytics and Data Science Trainee position in Pune focuses on data science, machine learning, data cleansing, predictive modeling, data analysis, visualization and LLM-based workflows. Candidates with the required educational background and relevant analytics skills can review the official requirements and complete the application before September 30, 2026.