Senior Data Scientist

About the job

About Welspun Welspun World is one of India's fastest growing global conglomerates with businesses in Home Textiles, Flooring Solutions, Advanced Textiles, DI Pipes, Pig Iron, TMT bars, Stainless Steel, Alloy, Line Pipes, Infrastructure & Warehousing. At Welspun, we strongly believe in our purpose to delight customers through innovation and technology, achieve inclusive & sustainable growth to remain eminent in all our businesses. From Homes to Highways, Hi-tech to Heavy metals, We lead tomorrow together to create a smarter & more sustainable world. Job Purpose/ Summary Welspun Transformation Private Limited is seeking a highly skilled and results-driven Senior Data Scientist with expertise in Python, PySpark, and Industry 4.0 technologies. The ideal candidate will have a strong background in designing and implementing advanced analytics solutions to optimize manufacturing processes, improve operational efficiency, and drive predictive maintenance initiatives. The role involves working closely with cross-functional teams to develop data-driven solutions that enhance decision-making across smart factories and industrial ecosystems. Job Title IT_Industries4.0_Data Scientist_CoE Job Description As a Senior Manager in the IT Industries 4.0 Data Scientist Center of Excellence (CoE.), you will be responsible for leading a team of data scientists to develop and implement advanced analytics models and solutions to drive business decisions and outcomes. You will be expected to leverage your expertise in Machine Learning, Python, MQTT, OPC UA, SCADA, Predictive Maintenance, and ETL pipelines to deliver innovative solutions and insights. Principal Accountabilities - Lead and manage a team of data scientists fostering a collaborative and innovative environment - Develop and implement advanced analytics models using machine learning and other data science techniques - Leverage Python, MQTT, OPC UA, SCADA and other technologies to extract, transform and load data - Drive predictive maintenance initiatives to optimize operations and reduce downtime - Collaborate with cross-functional teams to understand business needs and develop data-driven solutions - Use your business and commercial acumen to align data science initiatives with business objectives - Maintain a global mindset considering the needs and perspectives of stakeholders across different regions - Foster an entrepreneurial spirit within the team encouraging innovation and risk-taking - Ensure the team's work meets the highest standards of quality and excellence - Communicate effectively with stakeholders at all levels translating complex data insights into understandable and actionable information - Lead and participate in critical thinking and problem-solving initiatives contributing to product and service management - Ensure the security and confidentiality of all data adhering to IT application and information security best practices - Continually develop your own and your team's analytical skills staying abreast of the latest industry trends and advancements Key Interactions - Top Management - Mid Management - Junior Management - Cross-Functional Collaboration - Client Relations - Financial Auditing - Vendor Management Experience 4 Competency Name - Business & Commercial acumen: Expert - Global Mind-set: Expert - Entrepreneurship: Proficient - People Excellence: Proficient - Machine Learning: Expert - Python: Expert - MQTT, OPC UA, and SCADA: Expert - Communication Skill: Proficient - Team Leading: Proficient - Analytical Skills: Proficient - Predictive maintenance: Proficient - ETL pipelines: Expert

Requirements

• Python
• Machine Learning
• ETL pipelines
• Predictive Maintenance
• MQTT
• OPC UA
• SCADA

Preferred Technologies

• Python
• Machine Learning
• ETL pipelines
• Predictive Maintenance
• MQTT
• OPC UA
• SCADA

About the company

Welspun World is one of India's fastest growing global conglomerates with businesses in Home Textiles, Flooring Solutions, Advanced Textiles, DI Pipes, Pig Iron, TMT bars, Stainless Steel, Alloy, Line Pipes, Infrastructure & Warehousing.