below marketmost similar roles pay hereabove market
This role pays less than
68%
of similar roles. Most pay
$145,200–$208,518
— the blue band above.
At the midpoint, this role pays about
$150k
versus about
$177k
for comparable roles.
Based on 240 similar postings.
Employer
About Fiserv
Fiserv is a global leader in financial services technology, providing core banking platforms, payment processing, digital banking, and merchant acquiring solutions to financial institutions and businesses. Industry: Financial Technology & Payments
Fiserv currently has
117 open roles
on FindRole.
Listed pay typically runs
$123,500–$193,800
across 85 roles with salary data.
The Senior AI Data Scientist will join the team to design and deliver advanced applied AI, machine learning, and generative AI solutions for complex fintech and payments use cases. This role involves owning the end-to-end data science lifecycle, including problem formulation, feature engineering, model development, and deployment. You will build scalable AI/ML pipelines and production-ready capabilities for high-volume transaction data, fraud risk, forecasting, and payment optimization. Key technologies include Python, SQL, PyTorch, scikit-learn, XGBoost, and Spark, alongside cloud platforms like Azure, AWS, Databricks, and Snowflake. You will develop generative and agentic AI solutions using RAG pipelines, fine-tuning, and orchestration frameworks like LangGraph or LlamaIndex. The work focuses on solving technical challenges in merchant intelligence, anomaly detection, and authorization optimization within the financial services domain.
Design, develop, and deploy AI and machine learning solutions for complex fintech and payments use cases.
Own the end-to-end data science lifecycle from problem formulation and feature engineering to deployment and monitoring.
Apply advanced analytics to transaction data for fraud detection, forecasting, and authorization optimization.
Build scalable AI/ML pipelines using modern cloud, data, and MLOps platforms.
Create high-quality training, evaluation, and synthetic datasets while ensuring data privacy and security.
Develop generative and agentic AI solutions including RAG pipelines and multi-agent systems.
Adapt domain-specific models through prompt engineering, fine-tuning, and rigorous evaluation.
What we're looking for
Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or another quantitative field from a recognized institution.
8+ years of experience delivering high-impact AI solutions in technology, fintech, payments, financial services, research, or consulting organizations.
3+ years of hands-on experience developing LLM and generative AI solutions, including autonomous agents, foundation-model architectures, and production-grade RAG pipelines.
Strong programming skills in Python and SQL using frameworks such as PyTorch, scikit-learn, XGBoost, and Spark.
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.
Experience building production-grade AI/ML solutions using cloud and data platforms such as Azure, AWS, Databricks, or Snowflake.