Senior AI Data Scientist

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
111K-188K Annually
Senior level
eCommerce • Fintech • Information Technology • Payments • Financial Services
At Fiserv, we aspire to move money and information in a way that moves the world.
The Role
Designs and deploys advanced AI, machine learning, and generative AI solutions for fintech and payments. Owns the full data science lifecycle, develops scalable MLOps pipelines, builds LLM and agentic AI applications, and applies models to fraud, risk, forecasting, personalization, anomaly detection, and payment optimization. Partners with cross-functional teams, mentors data scientists, and ensures production solutions meet standards for governance, privacy, security, observability, and responsible AI.
Summary Generated by Built In

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

Senior AI Data Scientist


About your role:

The Senior 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:


  • 8+ 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.
  • 3+ 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.
  • Master's or PhD 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, engineering standards, and responsible AI practices.
  • Experience with vector and hybrid retrieval, semantic data architectures, model/agent observability, MLflow, and automated evaluation frameworks.
  • Experience with agent orchestration frameworks such as LangGraph, Microsoft Agent Framework, LlamaIndex, OpenAI Agents SDK, or comparable technologies.

 

How you’ll work:

  • This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.

Travel:

  • Approximately 10% travel off-site or to other office locations is expected.

Sponsorship:

·          

·         You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered.

#LI-RM1

Salary Range

$111,000.00 - $188,400.00

These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.

It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.

For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion.

Thank you for considering employment with Fiserv.  Please:

  • Apply using your legal name
  • Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).

Our commitment to Equal Opportunity:

Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. 

If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact [email protected]. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.

Note to agencies:

Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.

Warning about fake job posts:

Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

Skills Required

  • Master’s or PhD in Computer Science, Artificial Intelligence, Data Science, or another quantitative field
  • 8+ years of experience delivering high-impact AI solutions
  • Strong communication and problem-solving skills
  • Ability to independently lead ambiguous technical work and collaborate with product, engineering, architecture, and business stakeholders
  • Experience building production-grade AI and machine learning solutions using cloud and data platforms such as Azure, AWS, Databricks, or Snowflake
  • Strong programming skills in Python and SQL
  • Experience with PyTorch, scikit-learn, XGBoost, and Spark
  • 3+ years of hands-on experience developing LLM and generative AI solutions
  • Experience with autonomous agents, foundation-model architectures, and production-grade retrieval-augmented generation pipelines
  • Expertise in 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
  • 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, or distillation
  • Ability to mentor data scientists and establish reusable AI patterns, engineering standards, and responsible AI practices
  • Experience with vector and hybrid retrieval, semantic data architectures, model and agent observability, MLflow, and automated evaluation frameworks
  • Experience with agent orchestration frameworks such as LangGraph, Microsoft Agent Framework, LlamaIndex, or OpenAI Agents SDK
  • Valid and unrestricted U.S. work authorization without current or future sponsorship requirement

Fiserv Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fiserv and has not been reviewed or approved by Fiserv.

  • Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical, dental, and vision options alongside disability, life, and mental-health support resources. The offering is further reinforced by wellness programming and access to an employee assistance program with counseling.
  • Leave & Time Off Breadth — Time-off support appears broad, including paid holidays, sick time, and policies framed as well-being or recharge time. Parental leave and other leave types such as bereavement are also described as part of the overall package.
  • Retirement Support — Retirement benefits include a 401(k) plan with company matching and, for some legacy populations, access to a defined benefit pension plan. Equity-related programs such as an employee stock purchase plan are also described as available for eligible employees.

Fiserv Insights

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The Company
HQ: Milwaukee, WI
41,000 Employees
Year Founded: 1984

What We Do

Fiserv, Inc. (NYSE: FI) is a leading global provider of payments and financial services technology solutions, driving innovation in payments, processing services, risk and compliance, customer and channel management, and business insights and optimization. For more information, visit www.fiserv.com.

Why Work With Us

As a global leader in payments and financial technology, we proudly serve clients in more than 100 countries. As one of Fortune® magazine's "World's Most Admired Companies™" 9 of the last 10 years, one of Fast Company’s Most Innovative Companies, and a top scorer on Bloomberg’s Gender-Equality Index, we are committed to innovation and excellence.

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