Visa je globalno plačilno tehnološko podjetje, ki razvija in upravlja infrastrukturo za digitalno trgovino in prenos denarja. Njegovo omrežje je zasnovano za podporo varnim, hitrim in odpornim transakcijam za trgovce, finančne ustanove, podjetja in potrošnike po vsem svetu. Dejavnost podjetja vključuje plačilne tehnologije, kibernetsko varnost, ki temelji na umetni inteligenci, pobude za podporo malim podjetjem, kot je Visa & Main, ter človekoljubne dejavnosti prek fundacije Visa Foundation. Organizacija Visa za področje karier in zaposlovanja pridobiva talente, ki prispevajo k nadaljnjemu razvoju in varnosti njenega globalnega plačilnega omrežja.
Data Science Graduate – Visa, London
Build analytics, predictive models, and machine learning solutions for Visa clients across Europe. Turn VisaNet data into practical insights and opportunities for commercial growth.
Opis
- Develop analytics strategies and solutions for Visa’s external clients across Europe.
- Use data science to address clients’ business challenges.
- Work with VCA consultants to find and develop data science opportunities that support business development and revenue growth.
- Apply predictive modelling and machine learning to improve client acquisition, retention, and profitability.
- Analyze VisaNet data to identify performance metrics and opportunities in issuer P&L.
- Present business-focused findings through data visualisation and clear storytelling.
- Work with internal and external stakeholders to understand needs and shape them into practical data science solutions.
- Oversee several data science projects, setting scope and methods in line with client goals and timelines.
- Plan and carry out analyses using statistical and data mining methods.
- Keep project documentation complete and up to date.
- Improve existing solutions by introducing methods, tools, and established practices.
- Automate workflows and keep up with new data science tools, software, and techniques.
- Contribute throughout delivery, from gathering client needs to presenting actionable findings.
- Divide time between coding and data work, requirements discussions, and internal or external meetings.
Zahteve
- Hold permanent UK work authorization and state this on your CV.
- Be graduating in 2026 and available to start in January 2026.
- Have a graduate or postgraduate degree (Master’s or Ph.D.) in a quantitative discipline such as statistics, mathematics, operational research, computer science, economics, or engineering, or equivalent experience.
- Be fluent in English.
- Communicate effectively and persuasively.
- Be interested in consulting-style work and client-facing projects.
- Be familiar with modern distributed systems, including Hadoop, SQL, MLP, and Apache Spark.
- Know one or more data analytics or programming tools, such as Python.
- Understand predictive modelling and machine learning methods.
Ugodnosti
- Hybrid working arrangement.
- Work from the office at least three days per week.
- Contribute to large-scale work on meaningful challenges.
- Develop skills and grow professionally through impactful projects.
- Gain experience with client-facing projects in a consulting-style environment.