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At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

Job Overview


TE Connectivity's Procurement Business Process Teams develop and deploy procurement processes, systems, reporting and audits compliance. They drive continuous improvement throughout the procurement function, develop and maintain procurement systems, tools and databases such as vendor master files, e-procurement quotation tool, procurement web page, supplier portal, SharePoint and the like. They conduct regular external benchmarking to stay abreast of procurement best practices, run procurement reports and perform analysis to identify trends, opportunities, threats and needed course correction as well as lead facilitation of procurement training and development.

TE Connectivity's Procurement Business Process Team is responsible for driving organic growth by leveraging big data and advanced analytics. We are on an exciting journey to build and scale our advanced analytics practice; in this position you will apply your skills to unlock opportunities and enable top strategic priorities for TE. You will be working on problems that require advanced analytics applications to create value for diverse business needs and will impact business units that span through multiple geographic areas.




TE Connectivity Ltd. is a $14 billion global technology and manufacturing leader creating a safer, sustainable, productive, and connected future. For more than 75 years, our connectivity and sensor solutions, proven in the harshest environments, have enabled advancements in transportation, industrial applications, medical technology, energy, data communications, and the home. With 80,000 employees, including more than 8,000 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com



•    Work closely with business partners and engagement managers to translate complex business problems into analytics problems and solutions. Ask questions to understand business intent, problem statement, analytics opportunity, and value creation.
•    Work closely with data engineering team to identify and consume relevant structured and unstructured data sources.
•    Identify key hypotheses and data science approaches to answering analytics problems and getting to business outcomes.
•    Develop and pilot statistical and AI/ML models through iterative process and rapid prototyping. Work with business users to ensure that analytics solutions are easily consumed and adopted.
•    Recommend opportunities for process improvement based upon data analytics.
•    Maintain raw data in SharePoint & TEAMS.
•    Run out monthly performance report & Weekly tracking sheet. (such as spend, savings, delivery, quality, others)

Job Description:


Experience &Qualification:


•    A Bachelor’s degree in data science, predictive analytics, computer science, applied mathematics, statistics, software engineering, physics, or related quantitative discipline. 
•    8+ years of hands-on experience in machine learning and statistical modelling, including a demonstrated high-level of proficiency in applying data science techniques to        solving enterprise problems.
•    High proficiency in conducting analyses using tools like Python, R and data visualization tools (e.g. Tableau, Power BI, Qlik, Ploty).
•    Rigorous understanding of the fundamentals of statistics, machine learning and artificial intelligence using both structured and unstructured data sets.
•    Experience in developing hypotheses or analytics solutions for business problems.
•    Experience in presenting complex analytics methodologies, analyses and insights in simple and concise manner to the business partners and senior leaders.

We Value


•    Experience in analytics solutions in industrial and/or manufacturing domains.  
•    Experience moving prototypes to production environment and optimizing models in production environment.
•    Experience mentoring business analysts and other data scientists.
•    Exposure to distributed computing frameworks as well as cloud technologies.
•    Proficient with MS-Office tools, primarily Excel, but also Word and PowerPoint. knowledge of ERP (SAP preferred)



Proactive, detailed-oriented
Problem solving and quick action & response to drive results
Values: Integrity, Accountability, Teamwork, Innovation



Values: Integrity, Accountability,Teamwork, Innovation

Bangalore, KA, IN, 560070

City:  Bangalore
State:  KA
Country/Region:  IN
Travel:  10% to 25%
Requisition ID:  78373
Alternative Locations: 
Function:  Procurement

Job Segment: Business Process, Developer, Engineer, ERP, Cloud, Management, Technology, Engineering

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