Preferred candidate profile
- Experience:
- Proven experience in data science roles with a focus on machine learning, AI, and predictive modeling.
- Experience working with real-time/streaming data and telematics is highly desirable.
- Background in the automotive industry or with automotive data is a plus.
- Skills:
- Proficiency in programming languages such as Python, R, or Java.
- Hands-on experience with machine learning, deep learning frameworks and libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
- Knowledge of statistical analysis and modeling techniques (e.g., regression, classification, clustering).
- Familiarity with data processing tools and frameworks (e.g., Apache Kafka, Apache Flink, Spark).
- Solid skills in feature engineering, model evaluation,



and algorithm tuning, MLOps.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, ggplot) and techniques.
- Excellent problem-solving abilities, with a knack for deriving actionable insights from complex datasets.
- Preferred:
- Experience with deep learning and reinforcement learning techniques.
- Knowledge of vehicle communication protocols (e.g., CAN bus) and telematics systems.
- Familiarity with cloud-based machine learning services and platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML).

📌 Data science (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru