Senior Data Scientist - C C ; Energy​/Utility Domain

Candidate must have Energy/Utility Domain experience and should have Understanding of renewable generation, load forecasting, energy markets

We are seeking a Data Scientist with 9 or more years of hands‑on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working with large, messy datasets, has exposure to modern data technologies, and brings a strong analytical mindset. Experience with machine learning and LLMs is a strong plus.

• Data scientists with proven time‑series forecasting portfolios
• Candidates from energy, utility, or renewable sectors
• Profiles showing ARIMA/SARIMAX/Prophet/LSTM experience
• Evidence of weather‑dependent forecasting projects
• Production deployment of operational forecasting systems

• 9+ years of experience as a Data Scientist / Data Analyst
• Strong proficiency in Python for data manipulation and analysis Pandas, Num Py, Sci Py
• Solid understanding of data cleaning, transformation, and feature engineering
• Experience with SQL (Postgre
  
  SQL, MySQL, Big Query, Snowflake, etc.)
• Familiarity with data visualization tools Matplotlib, Seaborn, Plotly, or Power BI/Tableau
• Understanding of statistics and data analysis fundamentals
• Experience working with APIs and external data sources
• Strong problem solving and communication skills
• Modern / Latest Tech Stack (Preferred)
• Python (3.x)
• Pandas, Num Py, Scikit learn
• Jupyter, VS Code
• Git / Git Hub
• Data tools:
  Airflow, dbt, Spark (basic exposure)
• Containerization:
  Docker (nice to have)
• Good to Have
• Hands on experience with Machine Learning model Regression, classification, clustering, time series
• Exposure to LLMs and Generative AI OpenAI / Azure OpenAI APIs
• Embeddings, vector databases (FAISS, Pinecone, Chroma)
• Experience with NLP or text analytics
• Knowledge of MLOps basics (model versioning, monitoring)

If your profile matches, please do share a copy of your resume  at an earliest