Data Scientist - Solution Design & Commercial Finance Analytics

What you'll do:

• We are seeking a motivated Data Scientist to join our Commercial Finance Analytics team based in the Business Finance COE Center in Pune, India.
• This individual contributor role will support the design and implementation of analytical solutions for Eaton businesses through Commercial Finance.
• The candidate will collaborate with cross-functional teams to help define, manage, and optimize data assets in a scalable and sustainable manner.
• This role will contribute to the development of tools, dashboards, and analytics that provide actionable, data-driven insights into business operations.
• The key objective of this position is to apply core analytics methodologies including statistical analysis, trend modeling, and basic machine learning to uncover insights, support recommendations, and enable data-informed decision-making across the organization.
• The Data Scientist will support the discovery of insights from complex datasets to enable smarter, data-driven decision-making across Eaton businesses through Commercial Finance.
• The role focuses on contributing to the development of a unified data ecosystem and applying analytics techniques to deliver actionable insights.

Key responsibilities include:

• Support analytical projects: Assist in defining problems, exploring data, and developing models that align with business goals to support growth and efficiency.
• Contribute to data platform development: Help build and maintain systems to collect, process, and visualize data from various sources for analysis.
• Apply analytical techniques: Use statistical methods and basic machine learning to identify trends and translate data into meaningful insights.
• Collaborate with cross-functional teams: Work with business partners to understand business processes and contribute to designing data solutions that fit operational needs.
• Provide ongoing analytical support: Deliver historical and trend-based insights to help teams make informed decisions.
• Identify opportunities for analytics: Participate in identifying use cases where data science can add value and support capability development within the team.
• Data modeling and process improvement: Design data models that improve workflows, reduce risk, and support strategic initiatives.

Qualifications:

Requirement:

• Minimum bachelor's degree in mathematics, Economics, Business Analytics, Engineering, or a related quantitative field.
• 3-5 years of experience - manufacturing industry exposure preferred

Skills:

• Microsoft Power BI and Data science experience mandatory.
• SQL language query mandatory.
• Data Engineering - extracting (relevant data), transforming (cleaning data), and loading (calculating & integrating) data from multiple sources to a single repository - mandatory.
• Strong analytical skills- prior experience of working on big data analytics projects - preferred.
• Strong business acumen in the candidate's respective industry.
• Ability to multi-task and be proactive & independent in a dynamic environment.
• Highly motivated individuals with excellent oral and written communication skills.
• Strategic and Critical approach towards solving problems and decision making.
• Results-oriented; proven ability to prioritize, drive and achieve results.
• Problem solving and decision-making capability.
• Good communication skills
• Global Savvy
• Customer Focus
• Get results through self and others

Client-provided location(s): Pune, India

Job ID: Eaton-52639Pune

Employment Type: OTHER

Posted: 2025-10-19T18:35:42