Data Science Graduate (Fintech)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
Data Science Graduate (Data Science/Fintech): Developing analytics-driven strategies and solutions for external clients in Europe with an accent on predictive modeling, machine learning, and commercial value. Focus on analyzing Net data, uncovering P&L opportunities, and translating complex data into actionable business insights.
Location: Hybrid (London, UK). Must have permanent right to work in the UK
Company
is a world leader in payments technology, facilitating transactions between consumers, merchants, and financial institutions across more than 200 countries.
What you will do
- Develop and deliver analytics-driven strategies and solutions for external clients in Europe.
- Apply predictive modeling and ML techniques to optimize customer acquisition, retention, and profitability.
- Analyze Net data to identify growth opportunities and key performance metrics.
- Collaborate with consultants to identify new data science opportunities to drive revenue growth.
- Deliver business insights through data visualization and storytelling for senior stakeholders.
- Manage end-to-end project lifecycles from requirement gathering to the delivery of actionable insights.
Requirements
- Permanent right to work in the UK.
- Graduating in 2026 and ready to start the job on January 2026.
- Graduate or Postgraduate degree (Masterβs or Ph.D.) in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering).
- Fluent in English.
- Familiarity with Python, SQL, Hadoop, and Apache Spark.
- Knowledge of applying predictive modeling and machine learning techniques to business problems.
Culture & Benefits
- Opportunity to create impact at scale within a global leader in payments technology.
- Client-facing experience in a consulting-like environment.
- Hybrid work model requiring at least 3 days in the office.
- Exposure to massive datasets (Net) and modern distributed systems.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β