Tasks

The ideal candidate should possess solid expertise in statistical modeling, machine learning, AI, and emerging Agentic AI frameworks, along with experience in solving real-world automotive or manufacturing problems such as predictive maintenance, quality analytics, supply chain optimization, or connected vehicle use cases.

- Develop, validate, and deploy machine learning and AI models to solve business challenges.
- Apply statistical techniques (hypothesis testing, regression, Bayesian methods) to derive insights from complex datasets.
- Design and implement end-to-end data science pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment.
- Build and operationalize Agentic AI systems (autonomous agents, multi-agent workflows, LLM-based reasoning systems).
- Work on time-series forecasting, anomaly detection, and predictive analytics for manufacturing/automotive use cases.
- Collaborate with cross-functional teams including data engineering, product, domain experts, and business stakeholders.




- Interface with IoT, telematics, MES, ERP, and connected vehicle platforms for data-driven insights.
- Ensure scalability and performance by deploying models using cloud-based solutions (Azure/AWS/GCP).
- Communicate findings effectively through visualizations, dashboards, and presentations.
- Stay current with advancements in AI/ML, including GenAI and Agentic AI ecosystems.

Job number: 8626 Publication period: 08/07/2026 - 08/09/2026 Location: Bangalore Organization: Daimler Truck Innovation Center India Private Limited Job Category: Sales/Marketing/Communication Working hours: Full time Benefits Canteen-Cafeteria Parking Barrier-free workplace Inhouse Doctor Good public transport To Location: Bengaluru, Daimler Truck Innovation Center India Private Limited Contact Recruiter Name: Sarita Singh Deo Email: [email protected]

📌 _Data_Scientist_Data_operations_R&D (India)
🏢 Daimler Truck
📍 India