Senior Data Scientist

Trane Technologies
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 5-7 yearsEducation: bachelorsSkills: ["Analytical problem-solving","Communication","Collaboration","Independent work","Ownership"]

Design and deploy AI and GenAI applications to solve real business problems, combining machine learning, large language models, and scalable data engineering. You’ll analyze complex datasets, build predictive/time-series models, develop ETL and feature engineering with Python and SQL, and create LLM-powered solutions (e.g., RAG, copilots, assistants). Work with cross-functional stakeholders to productionize architectures, evaluate and monitor AI quality, and support business decisions with dashboards and BI tools.

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FursaFursa
Trane Technologies
Trane Technologies
3 months ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Design and deploy AI and GenAI applications to solve real business problems, combining machine learning, large language models, and scalable data engineering. You’ll analyze complex datasets, build predictive/time-series models, develop ETL and feature engineering with Python and SQL, and create LLM-powered solutions (e.g., RAG, copilots, assistants). Work with cross-functional stakeholders to productionize architectures, evaluate and monitor AI quality, and support business decisions with dashboards and BI tools.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Analyze large, complex datasets to uncover trends, patterns, anomalies, and actionable business insights.
  • •Design, develop, and deploy AI/GenAI applications using machine learning, large language models, and workflow orchestration.
  • •Build and optimize predictive, statistical, and time series models for business and operational use cases.
  • •Develop data pipelines, ETL workflows, and feature engineering processes using SQL and Python to support AI/ML applications.
  • •Develop and productionize LLM-powered solutions (e.g., copilots, knowledge assistants, summarization, search/retrieval, recommendation systems) and evaluate/monitor AI systems for quality and performance.

Key Requirements

  • •5–7 years of experience in data science, advanced analytics, AI engineering, or related roles.
  • •Strong proficiency in Python for data science, API integration, automation, and AI application development.
  • •Advanced proficiency in SQL, including complex querying, performance tuning, data transformation, and data modeling.
  • •Hands-on experience with Generative AI and large language model applications, including prompt engineering, RAG patterns, and model evaluation.
  • •Experience building AI applications with libraries/frameworks such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and GenAI tools like LangChain or LlamaIndex.
Experience:5-7 yearsData scienceMachine learningAI engineeringGenerative AIGenAI
Education:Bachelor's in Computer Science, Data Science, Engineering, AI, or a related field
Skills:Analytical problem-solvingCommunicationCollaborationIndependent workOwnership
Tech Stack:PythonSQLMachine learningGenerative AIAI/MLLarge language modelsLLM-powered applicationsPrompt engineeringRAGRetrieval-augmented generationVector databasesEmbeddingsSemantic searchDocument retrievalMLOpsLLMOpsCI/CDModel versioningTestingRelease management

Company Brief

Trane Technologies
Designs and manufactures HVAC and climate solutions for commercial, industrial, and residential buildings. Focuses on heating, cooling, ventilation, and building efficiency systems under brands like Trane and Thermo King.
Industry: Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dublin, Ireland
Founded: 2013
WebsiteLinkedIn