Data Scientist

**Company Description** Xenvolt AI empowers enterprises to address complex governance challenges by transforming traditional systems into a predictive, transparent, and adaptive framework. By leveraging AI\-powered insights and real\-time intelligence, we enable organizations to anticipate risks, ensure compliance, and optimize operations. Our solutions drive smarter decision\-making, promote accountability, and support sustainable growth. At Xenvolt, we are committed to helping businesses navigate challenges and unlock their full potential. **About the Role** Xenvolt Technologies is looking for a motivated and detail\-oriented Data Scientist to join our growing Data Science team. The candidate will work on real\-world machine learning and data analytics problems involving forecasting, predictive analytics, monitoring systems, and AI\-driven applications.  This role offers an opportunity to work on end\-to\-end ML workflows, data\-driven product development, and scalable AI solutions across industrial and renewable energy domains.  **Key Responsibilities** * Build, train, and evaluate machine learning models for predictive analytics and forecasting applications. * Perform data preprocessing, feature engineering, and exploratory data analysis. * Develop and optimize time\-series forecasting models. * Work with structured and unstructured datasets from multiple sources. * Collaborate with software and product teams for deployment and integration of ML solutions. * Monitor model performance and improve accuracy through experimentation and tuning. * Create visualizations, dashboards, and analytical reports for insights and decision\-making. * Participate in research and implementation of AI/LLM\-based solutions where applicable. **Required Skills** * Strong proficiency in Python. * Hands\-on experience with Pandas, NumPy, Scikit\-learn, XGBoost, Matplotlib and Seaborn. * Understanding of machine learning concepts and model evaluation techniques. * Experience with SQL and NoSQL database handling. * Knowledge of time\-series forecasting techniques. * Familiarity with feature engineering and data preprocessing pipelines. * Understanding of statistics and probability concepts. **Preferred Skills** * 1–2 years of hands\-on experience in Data Science, Machine Learning, or AI\-based projects. * Experience with Deep Learning frameworks such as TensorFlow or PyTorch. * Exposure to cloud platforms or model deployment workflows. * Familiarity with APIs, FastAPI/Flask, or ML integration pipelines. * Exposure to Generative AI or LLM\-based applications is a plus. * Experience working with IoT, industrial, or renewable energy datasets is advantageous. **Qualifications** * Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or related fields. **Why Join Us?**   * Opportunity to work on impactful real\-world AI projects. * Collaborative and innovation\-driven work environment. * Hybrid working flexibility.