Analytics and Data Science trainee

Kimberly-Clark; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Kimberly-Clark in Pune, India, seeks a data analytics professional to provide end-to-end analytical support for GBS and enterprise projects, focusing on data science, machine learning, and data cleansing. You will contribute to data collection, modeling, analysis, and visualization while collaborating with cross-functional teams to deliver actionable insights.

You will leverage ML systems, data ingestion, and Power BI to build robust workflows and dashboards, ensuring data quality and

Qualifications

• Bachelor’s degree in computer science or related quantitative field with data science focus.
• Strong communication skills and attention to detail.
• Ability to manage multiple projects with stakeholder updates.

Responsibilities

• Data Collection and Cleaning: gather, clean, and preprocess data for analysis.
• Model Development: support development of predictive models and algorithms.
• Data Analysis: perform exploratory analysis to identify trends and anomalies.
• Collaboration: work with data scientists and cross-functional teams.
• Data Visualization: create visualizations and reports to communicate findings.

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 ondata 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

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.