Specialist / Senior Analyst / Analyst – Machine Learning and AI

Verint is a leader in CX automation. The world’s most iconic brands rely on our open platform and team of AI-powered bots to create tangible AI business outcomes, now.

Today’s organizations face skyrocketing expectations for delivering better customer experiences (CX) across every channel. But hiring more workers and increasing workforce expenses isn’t a sustainable option.

AI offers a solution – and that’s where Verint comes in. We empower brands with groundbreaking AI via our next-gen open platform. The first of its kind, Verint Open Platform helps organizations increase CX automation to achieve their strategic objectives and realize significant ROI.

The Verint Open Platform provides a team of AI-powered bots to augment human staff across the enterprise, including contact centers, web/mobile channels, branches, back offices, CX offices, and more. The result? Organizations can create capacity, lower costs, and continually improve CX.

It’s all possible with CX automation.

Center of Excellence in Financial Analytics and Innovation

Team Description:

Location: Bangalore India

Job Title: Specialist – Machine Learning and AI

Job Summary:

We are seeking a highly skilled and motivated Specialist – Machine Learning and AI to join our Financial Analytics Center of Excellence in Bangalore. This role will support cross-functional business teams—including CFO, CTO/Product Analytics, Investor Relations, Corporate FP&A, Customer Success, Sales Operations, Reporting & Consolidation, and Partner Alliances—by designing and deploying advanced AI/ML solutions to solve complex business challenges.

The ideal candidate will bring 5–10 years of hands-on experience in applying machine learning and artificial intelligence in financial analytics, product usage analysis, and general business operations in a B2B software/SaaS environment.

• Collaborate with finance, product, and operations stakeholders to understand business questions and deliver ML/AI-driven solutions that improve forecasting, anomaly detection, and process automation.
• Lead the design and deployment of machine learning models including supervised, unsupervised, and reinforcement learning approaches to solve use cases in revenue forecasting, GL mapping, customer expansion recommendations, customer retention, churn and product analytics.
• Own the end-to-end ML pipeline: data preparation, feature engineering, model selection, training, validation, and deployment.
• Design and implement MLOps and automation pipelines to streamline the deployment and monitoring of ML models.
• Enhance and maintain existing models for intelligent classification to support business growth.
• Partner with data engineers and analysts to ensure data quality, scalable architecture, and secure model integration with business applications and dashboards.
• Provide thought leadership in identifying emerging AI/ML trends and proactively propose innovative use cases to improve business outcomes.
• Generate explainable, transparent outputs that can be translated into business actions and executive-level insights.

Required Qualifications:

• Bachelor's or master’s degree in computer science, Data Science, Applied Mathematics, Statistics, or a related field.
• 5–10 years of hands-on experience applying machine learning and AI in a business context, preferably in the software/SaaS industry.
• Strong programming skills in Python and libraries like scikit-learn, XGBoost, TensorFlow, PyTorch, etc.
• Demonstrated success with ML use cases such as: GL classification, predictive modeling for financial KPIs, customer behavior prediction, or recommendation systems.
• Experience working in cross-functional teams with finance, sales, customer success, and product functions.
• Proficiency in SQL and working with structured/unstructured datasets.
• Ability to communicate complex technical solutions clearly to non-technical stakeholders and executive audiences.

Preferred Qualifications:

• Prior experience supporting FP&A, Product Analytics, or GTM Strategy functions.
• Exposure to cloud-based ML deployment (Azure, AWS, or GCP).
• Basic knowledge of Large Language Models (LLMs) and Generative AI tools.
• Familiarity with BI tools such as Power BI or Tableau for integrating ML output into business reporting.

Why Join Us?

• Be part of a growing, high-impact Financial Analytics Center of Excellence.
• Work on meaningful business challenges using cutting-edge AI/ML approaches.
• Collaborate with senior business leaders across Business Finance, Product, and Customer organizations.
• Drive innovation and help shape the next phase of our AI/ML capability in a dynamic business team in global software company.