Data Science Manager-Finance

Job Description



If you desire to be part of something special, to be part of a winning team, to be part of a fun team – winning is fun.  Weare looking forward to a Data Science Manager in Eaton’s GlobalFinance Systems and Servicesbasedin Pune, India. 


In Eaton, making our work exciting, engaging, meaningful; ensuring safety, health, wellness; and being a model of inclusion & diversity are already embedded in who we are - it’s in our values, part ofour vision, and our clearly defined aspirational goals. 




This exciting role offers opportunity to:



◾Help to make smarter decisions to deliver even better services

◾Help to discover the information hidden in vast amounts of data

◾Primary focus would be in applying data mining techniques, doing statistical analysis and building

◾high quality prediction systems integrated withour products

◾Must have the ability to look at the data (trends / numbers) and recommend solutions based on the thefindings through the use of statistical and analytical techniques

◾Generate dashboards, standards or customized reports summarizing business,financials or         

◾economic data for review by the Leadership team

◾Development of ad-hoc and routine MIS and analysis supporting operational and project needs

◾Interface with customers which includes acknowledging and bringing to satisfactory closure of                  

◾internal customer issues

◾Follow through the timelines committed and can work on tight deadlines

◾Able to handle multiple projects within and outside function

◾Identify optimization and automation scope of finance processes

◾Should work with large amounts of data

◾Work with leadership to prioritize business and information needs

◾Processing, cleansing and verifying the integrity of data used for analysis

◾Coordinate with different functional teams to implement models and monitor outcomes

◾Develop processes and tools to monitor and analyze performance scorecard and data accuracy




Data Scientist: Expectations from the role



•      Individual should be able to do data research, understand data behavior and have statistical background


•      R, Python programming knowledge


•      Closely work with domain experts, so they can understand logic and feasibility of data flow better


•      Work on routine activities like automations, BPI (customer related projects)


•      Facilitates quick decision making on efficiency, standardization, optimization based on outcome of data analysis and behavior





Specialized Knowledge


  • Engineering Graduates or bachelor’s degree in Statistics or Mathematics with knowledge of  IT and Finance
  • Possesses minimum 8 years of experience with at least 4 years in data mining, analysis and use of related technology
  • Proficient in R, Python, Power BI
  • Must have working knowledge of Finance processes (OTC, PTP and RTR)
  • Have a sound understanding on Statistical concepts and its implementation
  • Good applied statistics skills, such as distributions, statistical testing, regression, forecasting techniques, etc.
  • Experience with common data science toolkits, such as Data Analysis toolkit in R, MS Excel, etc.
  • Experience with data visualization tools such as Power BI, QlikView, Tableau, etc

Yes! Because you are the one we are looking for, we hope to hear from you now!


Job tag: *LI-MKP1 


We make what matters work. Everywhere you look—from the technology and machinery that surrounds us, to the critical services and infrastructure that we depend on every day—you’ll find one thing in common. It all relies on power. That’s why Eaton is dedicated to improving people’s lives and the environment with power management technologies that are more reliable, efficient, safe and sustainable. Because this is what matters. We are confident we can deliver on this promise because of the attributes that our employees embody. We’re ethical, passionate, accountable, efficient, transparent and we’re committed to learning. These values enable us to tackle some of the toughest challenges on the planet, never losing sight of what matters.

Job: Finance/Accounting

Region: Asia Pacific
Organization: Corporate Sector

Job Level: Individual Contributor
Schedule: Full-time
Is remote work (i.e. working from home or another Eaton facility) allowed for this position?: No
Does this position offer relocation?: Relocation from within hiring country only
Travel: No