Live opening · Posted 1 day ago

Analytics and Data Science trainee

Kimberly-Clark · Pune Division, Maharashtra, India (On-site)
Linkedin No
You are 1 day behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 1 day ago
CompanyKimberly-Clark
LocationPune Division, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed1 day ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
10 min from Linkedin publishing this role to us finding it
9 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
74,046 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

Job Description
Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional®. At Kimberly-Clark, it’s all here for you: innovation, growth, and the chance to make a real impact.
You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference.
Here, you’ll bring your talent, curiosity, and drive while supporting analytics and data science initiatives that help the business make better, data-driven decisions. In this role, you’ll help us deliver better care for billions of people around the world.
It starts with YOU.
Main Purpose Of Role
Provide end-to-end analytical support for GBS and Enterprise Projects (via GBS) with a focus on data science, machine learning and data cleansing.
Role Accountabilities
Data Collection and Cleaning: Assist in gathering, cleaning, and preprocessing data for analysis to ensure high-quality datasets.
Model Development: Support the development of predictive models and algorithms to analyze data and derive insights.
Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets.
Collaboration: Work closely with data scientists and cross-functional teams to understand data needs and implement solutions.
Data Visualization: Create visualizations and reports to communicate findings effectively
Functional/Business Skills
Experience building, training, and deploying ML systems
Data ingestion, model training, ongoing validation
Building LLM based workflows
Must have extensive PBi skills
Essential Knowledge / Experience
Bachelor’s degree in computer science or related quantitative field (with data science or analytics focus)
Demonstrated strong oral and written communication skills; attention to detail
Ability to work through challenging situations or complex problems to achieve goal
Demonstrated ability to manage and prioritize multiple projects, including providing stakeholder updates and communications
Ability to collaborate effectively with a diverse set of colleagues, customers, and stakeholders
To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.
And finally, the fine print….
For Kimberly-Clark to grow and prosper, we must be an inclusive organization that brings together the diverse experiences and perspectives of our team members to support brands that make life better for people around the world.
Kimberly-Clark is committed to equal employment opportunity, and qualified applicants will receive consideration for employment in accordance with applicable laws and company policies.
The statements above are intended to describe the general nature and level of work performed by employees assigned to this role. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required for the position.
Employment is subject to verification of applicable local policies.
Primary Location
Pune Kharadi Hub
Additional Locations
Worker Type
Employee
Worker Sub-Type
Fixed Term (Fixed Term)
Time Type
Full time

Work arrangement
No

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App