Data Science Manager

Visa
Frankfurt
Workplace: HybridFull timeEUR 71,750 - 117,875 annuallyFunction: Data Science & Machine LearningSkills: ["Storytelling","Stakeholder communication","Influencing decisions","Analysis","Quality assurance"]

Lead data science delivery within Visa Consulting and Analytics, partnering with Sales, VCA, and Product to turn Visa data assets into commercially viable client solutions. Own end-to-end project execution using statistical and AI techniques, from problem framing and success metrics to insight delivery, storytelling, and visualization. Provide subject-matter expertise and quality assurance across engagements, and feed market trends into the IDS data science roadmap.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Visa
Visa
11 hours ago

Data Science Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live
Reposted: similar role first listed 2 months ago

Job Summary

Lead data science delivery within Visa Consulting and Analytics, partnering with Sales, VCA, and Product to turn Visa data assets into commercially viable client solutions. Own end-to-end project execution using statistical and AI techniques, from problem framing and success metrics to insight delivery, storytelling, and visualization. Provide subject-matter expertise and quality assurance across engagements, and feed market trends into the IDS data science roadmap.
Location: Frankfurt
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Develop a deep understanding of Visa data assets and translate them into compelling, commercially viable client propositions across acquisition, usage, and retention.
  • •Partner with Sales, VCA, and Product teams to identify opportunities, shape client conversations, and convert insights into funded projects.
  • •Define business problems, commercial outcomes, and success metrics; translate them into structured analytical and delivery plans with internal and external stakeholders.
  • •Execute data science projects using appropriate statistical and AI techniques, delivering clear business-centric insights with strong storytelling and impactful visualization.
  • •Provide subject-matter expertise and quality assurance across complex engagements, and use recurring client needs and market trends to inform the data science product roadmap.

Pay and Benefits

Salary: EUR 71,750 - 117,875 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionPensionLife InsuranceAnnual LeaveWellness Stipend

Key Requirements

  • •Advanced analytics and AI experience using predictive modeling, machine learning, experimentation, and agentic AI to deliver measurable business outcomes.
  • •Hands-on ability in data preparation and feature engineering, including cleaning, transforming, and validating large, complex datasets.
  • •Programming skills in Python and SQL, including production-grade data manipulation and ML workflows (e.g., pandas, scikit-learn or equivalent).
  • •Experience designing and implementing agentic AI workflows, including tool-augmented agents and orchestration frameworks (e.g., LangChain, LangGraph, AutoGen or equivalent).
  • •Familiarity with LLM integration patterns such as prompt engineering, RAG, function/tool calling, and memory management in agentic architectures.
Skills:StorytellingStakeholder communicationInfluencing decisionsAnalysisQuality assurance
Tech Stack:PythonSQLPandasScikit-learnLangChainLangGraphAutoGenLLM integrationPrompt engineeringRetrieval-augmented generation (RAG)Function/tool calling

Company Brief

Visa
Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1958
Glassdoor
Glassdoor: 3.8
WebsiteLinkedInGlassdoor