Data Science Graduate — Client-Facing Analytics

Visa

Greater London

Hybrid

GBP 32,000 - 42,000

Full time

4 days ago
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Job summary

Visa is seeking a Data Scientist Graduate to join the Data Science Lab in Europe. You will lead end-to-end analytics projects for external clients, gathering requirements, building models, and delivering actionable insights that drive business value and measurable returns.

The role combines hands-on coding with client-facing discovery, in a dynamic workload that varies by project—from CSV delivery to full predictive modeling—while ensuring rigorous documentation and strategic impact across the

Qualifications

  • Graduating before 1st October 2027.
  • Permanent right to work in the UK; please specify on CV.
  • Graduate/Postgraduate degree in a quantitative field (statistics, math, OR, CS, econ, engineering).
  • Fluent in English; strong written and verbal communication.
  • Interest in consulting-like client-facing projects and clear business impact.
  • Familiarity with distributed systems: Hadoop, SQL, MLP, Apache Spark; Python experience.

Responsibilities

  • Promote data science to solve external client challenges with impactful solutions.
  • Collaborate with consultants to identify data science opportunities for revenue growth.
  • Apply predictive modeling and ML to improve client outcomes (acquisition, retention, profitability).
  • Analyze VisaNet data to uncover KPIs and P&L opportunities for clients and Visa.
  • Deliver insights through data visualization and storytelling for strategic decisions.

Skills

English fluency
Client-facing mindset
Data storytelling

Education

Master's or Ph.D. in quantitative field

Tools

Python
Hadoop
Apache Spark
SQL
MLP

Job description

Visa is seeking a Data Scientist Graduate to join the Data Science Lab in Europe. You will lead end-to-end analytics projects for external clients, gathering requirements, building models, and delivering actionable insights that drive business value and measurable returns.

The role combines hands-on coding with client-facing discovery, in a dynamic workload that varies by project—from CSV delivery to full predictive modeling—while ensuring rigorous documentation and strategic impact across the

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