Data Science

Company Description

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.

**Job Description**:
**What we expect of you, day to day**:
The Senior Data Science Manager is a key member of the client facing Data Science Lab team in the European region. As a Senior Manager, you will be accountable for leading the blueprint, development and delivery of analytics driven strategies and solutions for Visa’s external clients in multiple markets such as France, Belgium & Luxembourg (FBL) Region. In this role, you will work collaboratively with VCA and a multitude of internal functions, their senior leaders, and our clients in promoting insights driven culture, creative and cutting-edge analytic solutions and best practices to drive business performance with a clear commercial ‘value’ and measurable ‘return’.

**Principal Responsibilities**
- Evangelizes 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 predictive techniques can be used to enhance client profitability, card and payments portfolio management across acquisition, usage and retention
- Imports and embeds global data science solutions in Europe and actively sells in services through client proposals
- Works with VCA consultants on conducting VisaNet data analysis on key metrics to articulate key issuer P&L opportunities to drive revenue growth for our clients and Visa
- 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 plans
- Executing on the analytic plans with appropriate data mining and statistical techniques
- Ensuring project delivery within timelines and budget requirements
- 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
- Enhancing existing solutions and approaches by promoting new methodology and best practices in data science field

**Qualifications**:
**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 rigor
- Commercial experience with Big Data systems such as Hadoop/SQL and Spark, end-to-end implementation of ML systems, and/or Software Engineering best practices such as VCS and CI/CD
- Hands-on experience with data visualisation tool such as Tableau / Power BI
- Experience planning, organizing, and managing end to end projects with diverse cross-functional teams
- Ability to communicate with impact with a senior business audience and experience of having worked in a consulting-like environment and client-facing project roles

**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
- Fluency in French/English

**Additional information**
- Reports to the Head of Data Science & Client Analytics, FBL
- This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two