AI Engineer
AI summary of the role
This Data Scientist role applies advanced ML and statistical techniques to detect, prevent, and respond to cyber threats at a global fintech leader.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, build, and deploy machine learning and statistical models for threat detection, anomaly detection, fraud identification, and risk scoring using security event and telemetry data.
- Engineer robust security data pipelines, including data ingestion, cleansing, feature engineering, and model monitoring, using structured and unstructured cyber data sources.
- Analyze outputs from security tools to identify control gaps and emerging threat patterns, translating findings into prioritized remediation recommendations.
- Partner with cybersecurity engineering, SOC, and infrastructure teams to embed AI and advanced analytics into security controls, playbooks, and incident response workflows.
What you’ll bring
- 6+ years of experience in data science or machine learning using Python or R to build and deploy models in production, preferably in cybersecurity, fraud, or risk domains.
- 4+ years of experience working with security-relevant datasets and tools (e.g., SIEM, endpoint protection, identity data, network telemetry) in an enterprise environment.
- 4+ years of experience with SQL and big data/cloud analytics platforms (e.g., Hadoop, Spark, Databricks) to process large-scale security datasets.
- 4+ years of experience applying machine learning methods (classification, clustering, anomaly detection, time series) and model evaluation techniques.
Technologies
Python · R · SQL · Hadoop · Spark · Databricks · SIEM · MLOps · CISSP · CCSP
About Fiserv
Global payments and financial-technology company providing card processing, core banking, and merchant acquiring (Clover POS) to banks, credit unions, merchants, and corporations.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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 Data Scientist – Cybersecurity AI & Advanced Analytics About your role: As a Data Scientist – Cybersecurity AI & Advanced Analytics, you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat analysts, and infrastructure teams to transform large-scale
More from the 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 Data Scientist – Cybersecurity AI & Advanced Analytics About your role: As a Data Scientist – Cybersecurity AI & Advanced Analytics, you will apply advanced machine learning and statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat analysts, and infrastructure teams to transform large-scale security telemetry into actionable insights that protect client data and critical systems. You will help us continuously strengthen our security posture and inform risk-based decisions across the organization. What you'll do: Design, build, and deploy machine learning and statistical models for threat detection, anomaly detection, fraud identification, and risk scoring using security event and telemetry data. Engineer robust security data pipelines, including data ingestion, cleansing, feature [... source excerpt omitted ...] maintain documentation for data sources, model architectures, assumptions, validation approaches, and deployment processes in line with internal governance standards. Experience you'll need to have: 6+ years of experience in data science or machine learning using programming languages such as Python or R to build and deploy models in production environments, preferably in cybersecurity, fraud, or risk domains. 4+ years of experience working with security-relevant datasets and tools (for example, Security Information and Event Management platforms, endpoint protection, identity and access data, or network telemetry) in an enterprise environment. 4+ years of experience with [... source excerpt omitted ...] oss prevention, or cloud security posture management. Experience in the financial services or payments industry working with sensitive data and stringent regulatory or compliance requirements. Experience with MLOps practices and tooling (for example, CI/CD for models, model registries, feature stores, or automated monitoring) in a regulated environment. Professional certifications such as Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), or a recognized data science or cloud certification, or equivalent combination of training and demonstrable experience. How you'll work: This role is on-site Monday through Friday. Fiserv
Employer postings · Data from · Sources