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Fiserv

AI-Data Science Advisor

Fiserv

. Design, develop, and deploy AI and machine learning solutions for complex business problems across payments and financial services .

Posted 10/23/2026full-timeUnited StatesMid-LevelSenior💰 $90,000 - $152,400 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI and machine learning solutions, with a strong focus on the end-to-end data science lifecycle and advanced analytics in financial services. Proficient in developing scalable AI/ML pipelines and mentoring teams while ensuring data integrity and responsible AI practices.

Highest-signal resume keywords
AI Solution DevelopmentGenerative AI SolutionsProduction-Grade AI/ML SolutionsPython ProgrammingFinancial Services Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningDeep LearningStatistical ModelingFeature EngineeringModel ValidationAnomaly DetectionOptimizationExperimentationData Science LifecyclePrompt Engineering
Soft Skills
MentoringCollaborationCommunication
Tools & Technologies
AzureAWSDatabricksSnowflakePyTorchScikit-learnXGBoostSpark
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Artificial IntelligenceMaster's Degree in Data Science
Industry Keywords
FintechPaymentsBankingFinancial ServicesHigh-Volume Transactional Data

Tech Stack

Tools & technologies
AWSAzurePythonPyTorchScikit-LearnSparkSQL

About the role

Key responsibilities & impact
  • Design, develop, and deploy AI and machine learning solutions for complex business problems 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 merchant and consumer intelligence, fraud and risk, personalization, forecasting, anomaly detection, and authorization optimization
  • Partner with product, engineering, architecture, and business teams
  • Mentor data scientists and translate emerging AI research into reusable, production-ready capabilities
  • Develop scalable AI/ML pipelines and production solutions with testing, observability, governance, and performance optimization
  • Create 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

Requirements

What you’ll need
  • 5+ years of experience delivering high-impact AI solutions
  • 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 Azure, AWS, Databricks, Snowflake, or comparable technologies
  • Strong programming skills in Python and SQL
  • Experience with 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
  • Practical knowledge of high-volume transactional data and financial-data controls
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or another quantitative field from a recognized institution
  • Valid and unrestricted U.S. work authorization required
  • Temporary visas including F-1 (OPT, CPT, STEM), H-1B, H-2, and TN are not accepted; candidates requiring sponsorship now or in the future will not be considered

Benefits

Comp & perks
  • Annual incentive opportunity, potentially delivered as a mix of cash bonus and equity awards
  • Approximately 10% travel off-site or to other office locations