As the world’s leader in digital payments technology, Visa’s mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company’s relentless focus on innovation is a catalyst for the rapid growth of digital commerce on any device for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You’re an Individual. We’re the team for you. Together, let’s transform the way the world pays.

What we expect of you, day to day:

The Data Science Consultant is a key member of the Data Science Lab in the Europe region. As a Data Science Consultant, you will be accountable for leading the blueprint, development and delivery of analytics driven capabilities and solutions for Visa’s internal and external clients. In this role, you will work collaboratively with a multitude of internal functions and their senior leaders in promoting an evidence and insights-driven culture. You will be developing creative and cutting-edge data science solutions, develop best practices to drive business performance with a clear commercial ‘value’ and measurable ‘return’.

Principal Responsibilities

• Drives automation of data analysis tools & solutions to enable scaling of Visa Consulting & Analytics (VCA) services across leading clients in multiple markets
• Delivering deep market and customer behavioural insights and driving the effective use of insights to enhance business performance and client profitability
• Evangelises the creative use of data science to solve business problems with external clients
• Works with VCA consultants in market to drive data science business development opportunities across key accounts to meet VCA revenue targets
• Identifies how data science and machine learning can be used to enhance capability for merchant/customer analytics data value proportion
• Create and deliver powerful business-centric insights from data through better visualisation and story-boarding
• Collaborating with the internal and external partners to fully understand business requirements and desired business outcomes
• Execution proficiency in handling multiple medium to large data science projects along with rest of the stakeholders in the project team
• Defining detailed analytic scope and methodology, and creating analytic plan
• Executing on the analytic plan with appropriate data mining and statistical techniques
• Ensuring project delivery within timelines and budget requirements
• Enhancing existing solutions and approaches by promoting new methodology and best practices in data science field
• Providing subject matter expertise and quality assurance of complex data science projects

What we’re after…

• Extensive experience in data science and analytical functions
• Graduate/Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
• Results oriented with strong analytical, consultative and problem-solving skills, with demonstrated intellectual and analytical rigour
• Hands-on experience with modern distributed systems, including both Hadoop/SQL and Apache Spark
• Hands-on experience with one or more data analytics/programming tools such as Python preferably
• High level of proficiency in creating be-spoke business intelligence reports using Tableau dashboard and visualisations
• Visualisation expertise in conceiving, creating and productionizing visual data products keeping user-centric design principles
• Experience in the application of predictive modelling and machine learning technique to business problems
• Experience planning, organising, and managing end to end projects with diverse cross-functional teams
• Excellent presentation skills, with an ability to present technical details to a non-technical audience and experience of working closely with a diverse stakeholder group in a consulting-like environment and client-facing project roles

Preferred Qualifications

• Experience working in merchant retail business and/or payments industry (bank, credit reference agencies, Fintech) or management-consulting firm desirable
• Hands on experience on processing extremely large data sets. Knowledge of payment network transactional data is a plus
• Substantial experience in use of tools and data insights for customer loyalty & behaviour insights and/or business growth
• Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
• Proven skills in translating analytics output to actionable recommendations, and delivery

Think you have what it takes?

If you are interested in a career that will challenge and inspire you – we’d love to hear from you!

Diversity & Inclusion

Universal acceptance for everyone, everywhere, is not only our brand promise, it’s the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back.

By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients.