Job Description

Thermax House, Pune, Maharashtra, India






Department
TL_EF_BTG_Corporate Functions
Job posted on
Jul 04, 2025
Employment type
Employee

Job Details:

Position:

Lead Data Scientist

Division & Department:

Enabling Functions_Business Technology Group (BTG)

Reporting To:

Commercial and Customer Experience Products Leader

Educational Qualifications:

Degree in Data Science, Computer Science, Engineering, Statistics, or related field with 8 to 10 years of relevant work Experience.

Role and Responsibilities:

Collaborate with business stakeholders and product managers to develop data science strategies tailored to business and customer needs Design, build, and deploy scalable, production-ready machine learning and statistical models focused on real-time IoT data streams and predictive analytics. Develop end-to-end ML pipeline encompassing Data Engineering, Data Analytics, Feature Engineering, model building, and validation. Leverage large volumes of industrial sensor and operational data to develop insights that enhance equipment reliability, operational efficiency, and customer satisfaction. Oversee data quality, model performance, and continuous improvements in data analytics processes within the IoT platform. Guide and support process engineers in modeling ML pipelines, ensuring seamless integration into production environments Lead end-to-end product feature development using Python and model development, including. MLOps

Critical Competencies:

Proven experience leading data science projects, preferably in Industrial IoT, manufacturing, or related domains. Strong proficiency in machine learning algorithms, statistical modelling, and data analysis techniques applied to sensor or time-series data. Programming Languages/Databases - MongoDB, MySQL, Python Packages- Pandas, Numpy, SkLearn, Scikit-learn Analytical Platform - Tableau or Power BI Cloud Platforms - Azure or AWS, or Databricks Must have a deeper understanding of Regression, Classification, and Clustering Algorithms Experience in building Machine Learning and Deep Learning end-to-end pipelines on cloud (AWS/Azure) Ability to lead initiatives independently, think strategically, and communicate clearly with both technical and non-technical teams. * Demonstrate customer focus, willingness to learn, and adapt to new technologies and unique challenges