AI Data Scientist at Fiserv in Washington, DC

Job description

Calling all innovators - find your future at Fiserv. We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title AI Data Scientist About your role: The AI Data Scientist will design and deliver advanced applied AI, machine learning, and generative AI solutions for complex fintech and payments use cases. This hands-on role will work across high-volume transaction data, merchant and consumer intelligence, fraud and risk, forecasting, and payment optimization, partnering with product, engineering, architecture, and business teams to move solutions from research into production. What you’ll do: Design, develop, and deploy AI and machine learning solutions that address complex business problems and create measurable value across payments and financial services. Own the end-to-end data science lifecycle, including problem formulation, exploratory analysis, feature engineering, experimentation, model development, validation, deployment, monitoring, and continuous improvement. Apply advanced analytics and AI to payment and transaction use cases such as merchant and consumer intelligence, fraud and risk, personalization, forecasting, anomaly detection, and authorization optimization. Partner with cross-functional teams, mentor data scientists, and translate emerging AI research into reusable, production-ready capabilities. Develop scalable AI/ML pipelines and production solutions using modern cloud, data, and MLOps platforms, with appropriate testing, observability, governance, and performance optimization. Create high-quality training, evaluation, and synthetic datasets while maintaining data integrity, privacy, security, and responsible AI practices. Develop and adapt domain-specific models through prompt and context engineering, retrieval, fine-tuning, model optimization, and rigorous evaluation. Build generative and agentic AI solutions, including foundation-model applications, retrieval-augmented generation, tool-calling workflows, structured outputs, and multi-agent systems. Experience you’ll need to have: 5+ years of experience with a proven track record of delivering high-impact AI solutions in leading technology, fintech, payments, financial services, research, or consulting organizations. 2+ years of hands-on experience developing LLM and generative AI solutions, including autonomous agents, foundation-model architectures, and production-grade RAG pipelines. Experience building production-grade AI/ML solutions using cloud and data platforms such as Azure, AWS, Databricks, Snowflake, or comparable technologies. Strong programming skills in Python and SQL, with experience using frameworks such as PyTorch, scikit-learn, XGBoost, and Spark to work with large-scale datasets. Deep applied AI expertise across machine learning, deep learning, statistical modeling, experimentation, forecasting, anomaly detection, optimization, and model validation. Strong fintech, payments, banking, or financial-services experience, with practical knowledge of high-volume transactional data and financial-data controls. Bachelors or Master's in Computer Science, Artificial Intelligence, Data Science, or another quantitative field from a recognized institution. Experience that would be great to have: Experience with card payments, acquiring, issuing, merchant analytics, fraud, risk, authorization, digital payments, or payment-network data. Experience adapting and optimizing foundation models using fine-tuning, LoRA/QLoRA, distillation, or comparable techniques. Demonstrated ability to mentor data scientists and establish reusable AI patterns, engine