Senior Data Science & AI Specialist

BlackBerry Inc.; Bengaluru; Hybrid; INR 900,000 - 1,800,000; Full time

Job summary

ABB Bangalore seeks a Data Analytics & BI Manager to design and operationalize ML-driven forecasting models for online products and SAAS. You will own the product vision for forecasting data products, build dashboards, and provide actionable insights to Finance, Sales, and senior management.

The role requires strong Python/SQL, time-series, ML frameworks, and data visualization skills, with a hybrid work setup in Bengaluru.

Qualifications

• Degree in B.Tech / M.Tech / BCA / MCA (CS/DS/Statistics or related).
• 5–7 years of forecasting and predictive analytics experience in business/finance.
• Strong time-series methods and classical ML algorithms expertise.
• Experience managing ML lifecycle end-to-end.
• Proficiency in Python and SQL; familiarity with ML frameworks.
• Data visualization experience (Power BI, Plotly, Streamlit).

Responsibilities

• Design end-to-end BI framework for online products and SAAS.
• Own ML lifecycle from data prep to deployment and monitoring.
• Develop forecasting models for revenue, costs, cash flow, and other metrics.
• Create dashboards and automated reports for performance tracking.
• Translate outputs into actionable insights for Finance, Sales, and Mgmt.
• Collaborate with stakeholders to validate forecasting assumptions.

Skills

Forecasting analytics

ML lifecycle management

Feature importance analysis

Education

B.Tech / M.Tech / BCA / MCA (CS/DS/Statistics)

Tools

Python

SQL

Scikit-learn

TensorFlow

PyTorch

Power BI

Streamlit

Plotly/Matplotlib

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 ManagerYour 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.The work model for the role is: # LI HybridThis role is contributing to the AUMA Business in Bangalore Location.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 monitoringExplore and implement forecasting and scenario analysis approaches (classical ML, time series methods, statistical techniques, etc) to optimize accuracy, explainability, and operational feasibilityProduct Owner for Forecasting: define and own the product vision, roadmap, and backlog for forecasting data products, ensuring alignment with business strategy and stakeholder needsPerform feature importance and driver analysis to identify key factors influencing financial outcomes as well as apply model explainability techniques to build stakeholder trust in predictionsTranslate model outputs into actionable insights for Finance, Sales, and other Management FunctionsDevelop dashboards and automated reports to track accuracy and financial performance over timeConduct root-cause analysis on variances between predicted and actual outcomes, and recommend corrective actionsFacilitate cross-functional engagement with business stakeholders to refine forecasting assumptions and validate model outputsQualifications 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 environmentStrong, 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.Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.Recruitment Fraud WarningABB never asks for payment from job applicants. All genuine job offers follow a formal application and interview process.View current job openings and apply at: https://careers.abb/global/en/homeFor more information, read our full fraud warning notice at: https://global.abb/group/en/careers/how-to-apply/fraud-warning