Demand Forecasting Data Scientist Hyderabad (India)

Company Name- WINIT

Location- Hyderabad

Role- Sr. Data Scientist

Job Summary:

We are looking for a skilled Data Scientist with solid expertise in demand forecasting, predictive analytics, and emerging Generative AI technologies. The ideal candidate should have hands-on experience in machine learning, deep learning, NLP, and LLM-based solutions, along with proficiency in Python, SQL, Power BI, and advanced Excel. This role involves building scalable forecasting models and leveraging AI/GenAI to deliver actionable business insights.

Key Responsibilities: Develop and deploy demand forecasting models using machine learning and deep learning techniques. Analyze historical data to identify trends, seasonality, and demand patterns. Build predictive models to improve supply chain and inventory planning. Work with large datasets using Python and SQL for data extraction, transformation, and analysis. Design dashboards and reports using Power BI for business stakeholders. Utilize advanced Excel techniques (Pivot Tables, Power Query, formulas) for analysis and reporting. Build and integrate NLP-based solutions for text data analysis and insights. Develop and implement LLM-based applications using Generative AI frameworks. Design and deploy RAG (Retrieval-Augmented Generation) pipelines for intelligent data retrieval and response generation. Collaborate with cross-functional teams (operations, finance, product) to align forecasting and AI solutions. Continuously improve model accuracy and performance through experimentation and optimization.

Required Skills: Solid proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). Solid understanding of machine learning & deep learning algorithms. Experience in demand forecasting / time-series analysis (ARIMA, Prophet, LSTM, etc.). Hands-on experience with NLP techniques and libraries (NLTK, SpaCy, Transformers). Experience working with LLMs and Generative AI frameworks (OpenAI, Huggi .