Senior Data Science Manager - Client Analytics - Central Europe (m/f/div.)
- Full-time
- Job Family Group: Product Development
Company Description
Fascinated by the future and captivated by technology?
Smart, driven and want to make a difference in the world?
You'll fit right in.
Join a diverse team at Visa, where your individuality fits right in. We can provide the opportunity to shape the payments experience globally. Together, let's transform the way the world pays.
Think you know us?
Our mission is to connect the world through the most innovative, reliable and secure digital payment network that enables individuals, businesses and economies to thrive.
Individuality fuels our brand and our global team – we’re proud that we are a talented team of 15,000 individuals with unique backgrounds, perspectives and experiences. Therefore, we understand that you are much more than your day job. We encourage quality of life outside of the office, whether it’s taking advantage of agile work schedules or our wellness programs, Visa respects and encourages meaningful work/life balance for everyone. In addition, we offer market leading salary and have a fantastic benefits offering.
So, if you’re not satisfied with the status quo, we can satisfy your desire to explore new territory, giving you the runway to really make an
Job Description
The Senior Data Science Client Analytics Manager is a key member of the client facing Data Science Lab team in Europe. We are seeking a strategic and analytical thinker to shape data driven strategies. As a Data Scientist, you will be accountable for leading the blueprint, development and delivery of data science driven strategies and solutions for Visa’s external clients primarily in the Central-, Central Eastern- and Nordics & Baltics European markets.
In this role, you will partner with the Visa Consulting & Analytics team to co-develop client solutions that draw on Data Science capabilities in order to grow consulting pipeline and drive tangible client business performance improvement.
Principal Responsibilities
Evangelizes the creative use of data science to solve business problems with external clients
Works with Visa Consulting & Analytics consultants in market to drive data science business development opportunities across key accounts to meet VC&A revenue targets
Identifies how data science and predictive techniques can be used to enhance client profitability, card and payments portfolio management across acquisition, usage & retention
Imports and embeds global data science solutions in Europe and actively sells in services through client proposals
Create and deliver powerful business-centric insights from data through better visualization and storyboarding
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
Performing quality assurance on data and deliverables by analyst and own deliverables
Ensuring all project documentation is up to date and all projects are reviewed per analytic plan
Ensuring project delivery within timelines and budget requirements
Building on team’s analytical skills and business knowledge
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
Qualifications
Qualifications
Basic Qualifications
- 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 rigor
- 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 R/Python
- Experience in the application of predictive modeling and machine learning technique to business problems
- Experience planning, organizing, and managing multiple large projects with diverse cross-functional teams
- Fluency in English
Preferred Qualifications
- Experience working in payments industry (bank, credit reference agencies, Fintech) or management-consulting firm.
- Hands on experience on processing extremely large data sets. Knowledge of payment network transactional data is a plus
- Deep understanding of Payments and Banking Industry including Consumer Credit, Consumer debit, Prepaid, Small Business, Commercial, Co-Brand and Merchant
- Experience building and cultivating teams
- 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
- 2nd fluent language, German or Dutch preferred
Additional Information
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.