Senior Data Science & AI Specialist

ABB; Bengaluru; Hybrid; INR 1,400,000 - 2,000,000; Full time

Job summary

ABB in Bangalore seeks a data analytics professional to design an end-to-end BI framework for online products and SAAS, evaluating data and recommending architecture (on-prem/cloud) while building intuitive dashboards.

You will forecast revenue, costs, and cash flow using ML, manage the full ML lifecycle, and translate results into actionable insights for Finance, Sales, and Management. The role offers hybrid work and collaboration with cross-functional teams.

Qualifications

• Degree in B.Tech / M.Tech / BCA / MCA (Computer Science, Data Science, Statistics, or related field).
• 5-7 years of hands-on experience in forecasting and predictive analytics using AI/ML techniques in business/finance.
• Strong expertise in time series methods (ARIMA, SARIMA, ES) and ML algorithms (regression, XGBoost, RF, LSTM).
• Experience managing the complete ML lifecycle—from data pipeline to deployment and monitoring; feature importance and SHAP analysis.
• Proficiency in Python and SQL for data manipulation, modeling, and statistics; experience with Scikit-learn, TensorFlow, PyTorch.
• Solid knowledge of statistics and data visualization tools (Power BI, Plotly, Matplotlib).

Responsibilities

• Design, develop, and operationalize ML-driven models to forecast revenue, costs, cash flow, and other key metrics.
• Explore forecasting methods to optimize accuracy, explainability, and feasibility.
• Product Owner for Forecasting: define vision, roadmap, and backlog for forecasting data products.
• Perform feature importance and driver analysis; apply explainability techniques for stakeholder trust.
• Translate model outputs into actionable insights for Finance, Sales, and Management.
• Develop dashboards and automated reports to track accuracy and performance.
• Conduct root-cause analysis on variances between predicted and actual outcomes.
• Engage with stakeholders to refine forecasting assumptions and validate outputs.

Skills

Forecasting

ML lifecycle

Python

SQL

Time series

Model explainability

Power BI

XGBoost

TensorFlow

PyTorch

Scikit-Learn

SHAP

Education

B.Tech / M.Tech / BCA / MCA

Tools

XGBoost

TensorFlow

PyTorch

Scikit-Learn

Job description

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This Position reports to: Data Analytics & BI Manager

The work model for the role is: # LI Hybrid

This role is contributing to the AUMA Business in Bangalore Location.

Your role and responsibilities:

In this role, you will have the opportunity to develop end-to-end business intelligence framework for online products and SAAS solutions based on requirements that include recommending an appropriate architecture (on-premises/cloud), analytics, and reporting. Each day, you will evaluate business data to produce meaningful insights and metrics and to identify trends that could improve business performance. You will also showcase your expertise by designing new dashboards using best practices and intuitive visualization.

You will be mainly accountable for:

• Design, develop, and operationalize ML-driven models to forecast revenue, costs, cash flow, and other key financial metrics — owning the complete ML lifecycle from data preparation and feature engineering through deployment and monitoring
• Explore and implement forecasting and scenario analysis approaches (classical ML, time series methods, statistical techniques, etc) to optimize accuracy, explainability, and operational feasibility
• Product Owner for Forecasting: define and own the product vision, roadmap, and backlog for forecasting data products, ensuring alignment with business strategy and stakeholder needs
• Perform feature importance and driver analysis to identify key factors influencing financial outcomes as well as apply model explainability techniques to build stakeholder trust in predictions
• Translate model outputs into actionable insights for Finance, Sales, and other Management Functions
• Develop dashboards and automated reports to track accuracy and financial performance over time
• Conduct root-cause analysis on variances between predicted and actual outcomes, and recommend corrective actions
• Facilitate cross-functional engagement with business stakeholders to refine forecasting assumptions and validate model outputs

Qualifications for the role (Mandatory):

• 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, demonstrated 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 explain ability 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).

More about US:

ABB a provides a comprehensive range of integrated automation, electrical and digital systems and services for customers in the process, hybrid and maritime industries. These offerings, coupled with deep domain knowledge in each end market, help to optimize productivity, energy efficiency, sustainability and safety of industrial processes and operations. Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.