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.