Kimberly-Clark Analytics and Data Science Trainee Full Time

Kimberly-Clark Analytics and Data Science Trainee . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in  India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free 

About Company :

Job Description :

In this Professional role, you’ll focus on supporting accurate and compliant intercompany accounting activities while partnering with Global Business Services and internal stakeholders. You’ll contribute to timely execution of routine transactions, reporting, and issue resolution that supports Kimberly‑Clark’s financial integrity and control environment. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU.

In this role, you’ll support GBS and Enterprise teams (via GBS) by delivering end‑to‑end analytical solutions that enable data‑driven decision‑making. You bring a strong analytical mindset and hands‑on experience in data science, machine learning, and data cleansing, and enjoy working with complex datasets to generate meaningful insights. You thrive in a collaborative, fast‑paced environment and are comfortable partnering with cross‑functional stakeholders to deliver scalable, high‑impact solutions.

In this role, you will:

• Provide end‑to‑end analytical support for GBS and Enterprise projects (via GBS) with a focus on data science, machine learning, and data cleansing.
• Apply advanced analytics and machine learning techniques to solve complex business problems and support enterprise priorities.
• Partner closely with stakeholders to understand analytical requirements and translate them into scalable data solutions.
• Ensure data quality and reliability through effective data preparation, validation, and ongoing model monitoring.
• Communicate insights clearly through structured analysis, visualizations, and reporting.

Functional / Business Skills

• Experience building, training, and deploying machine learning (ML) systems.
• Strong capabilities in data ingestion, model training, and ongoing model validation.
• Experience designing and building LLM‑based workflows.
• Extensive hands‑on expertise in Power BI (PBI), including data modeling, dashboards, and reporting.

Essential Knowledge / Experience

• 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, with high attention to detail.
• Ability to work through challenging situations or complex problems to achieve goals.
• Demonstrated ability to manage and prioritize multiple projects while providing clear stakeholder updates and communications.
• Ability to collaborate effectively with a diverse set of colleagues, customers, and stakeholders.

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