Data Science, Manager ??? Client Analytics

03 Jun 2021
01 Jul 2021
Employer Sector
Technology, ICT & Telecoms
Contract Type
Full Time
What we expect of you, day to day:

The Data Science Manager is a key member of the Data Science Lab in the Europe region. As a Data Science Manager, 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