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