Senior Data Science & AI Specialist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Business Intelligence
In short
ABB is seeking a Senior Data Science & AI Specialist in Bangalore to develop end-to-end business intelligence frameworks and ML-driven models for forecasting financial metrics. This hybrid role involves designing dashboards, performing root-cause analysis, and translating model outputs into actionable insights for management.
Responsibilities
- Design, develop, and operationalize ML-driven models for forecasting revenue, costs, cash flow, and financial metrics.
- Explore and implement forecasting and scenario analysis approaches (classical ML, time series, statistical techniques).
- Act as Product Owner for Forecasting, defining product vision, roadmap, and backlog.
- Perform feature importance and driver analysis, and apply model explainability techniques.
- Translate model outputs into actionable insights for Finance, Sales, and other Management Functions.
- Develop dashboards and automated reports to track accuracy and financial performance.
- Conduct root-cause analysis on variances between predicted and actual outcomes.
- Facilitate cross-functional engagement with business stakeholders to refine assumptions and validate model outputs.
Requirements
- Degree in B.Tech / M.Tech / BCA / MCA (Computer Science, Data Science, Statistics, or related field).
- 5-7 years of hands-on experience in driving forecasting and predictive analytics solutions using AI/ML techniques in a business or finance environment.
- Strong expertise in traditional time series methods (ARIMA, SARIMA, Exponential Smoothing, etc.) and classical ML algorithms (regression models, XGBoost, Random Forest, LSTM).
- Proven experience managing the complete ML lifecycle — from data pipeline design and feature engineering through model training, validation, deployment, and performance monitoring.
- Hands-on experience with feature importance/driver analysis and model explainability techniques (SHAP analysis or equivalent).
- Advanced proficiency in Python and SQL for data manipulation, modeling, and statistical analysis.
- Strong experience with ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or equivalent.
- Strong statistical knowledge including hypothesis testing, regression analysis, and model validation techniques.
- Experience with data visualization tools (Power BI, Streamlit, Python libraries like Plotly, Matplotlib).
#Data Science#AI#Machine Learning#Forecasting#Business Intelligence