Job
Description
VERINT is a global leader in Actionable Intelligence solutions. The company provides software and services that enable organizations tcapture, analyze, and act on large volumes of complex data in real-time. VERINTs solutions are designed thelp businesses enhance customer engagement, improve operational efficiency, and mitigate risk. VERINTs portfoliincludes a wide range of solutions, such as workforce optimization, customer engagement, voice of the customer, fraud and compliance, and security intelligence. These solutions leverage advanced analytics, artificial intelligence, machine learning, and automation tunlock actionable insights from data, enabling organizations tmake informed decisions and drive positive business outcomes. With a focus on empowering organizations across various industries, including customer service, contact centers, financial services, government, and security, VERINT is committed thelping businesses transform data intvaluable intelligence tachieve their strategic goals. Center of Excellence in Financial Analytics - Data Analytics and FP&A Innovation Team Description: The Center of Excellence in Financial Analytics comprises a dynamic and diverse team of professionals with expertise in data analytics, data manipulation, dashboard building, and FP&A. Our team is dedicated tdriving innovation, leveraging analytics techniques, and utilizing financial insights toptimize decision-making within the organization. Collaborative and driven, our team members work closely together tdeliver high-quality business insights and contribute tthe success of the Global CFO Organization. Location : Bangalore, India Job Summary: We are seeking a highly skilled and motivated Specialist - Machine Learning and AI tjoin 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 tsolve 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. Required Qualifications: Bachelors 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 tcommunicate complex technical solutions clearly tnon-technical stakeholders and executive audiences. Preferred Qualifications: Prior experience supporting FP&A, Product Analytics, or GTM Strategy functions. Exposure tcloud-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 intbusiness 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. Job Description: Collaborate with finance, product, and operations stakeholders tunderstand 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 tsolve 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 tstreamline the deployment and monitoring of ML models. Enhance and maintain existing models for intelligent classification tsupport business growth. Partner with data engineers and analysts tensure 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 timprove business outcomes. Generate explainable, transparent outputs that can be translated intbusiness actions and executive-level insights.
