Associate Director, Data Science

About the position

This role is a role within the Machine Learning Solutions team in SCMAC. The primary focus of the role is to develop AI solutions that are fit for purpose by leveraging advanced data & analytical tools and technology with in WRB. The individual will be responsible for end-to-end analytics solution development, deployment, performance assessment and to produce high-quality data science conclusions, backed up by results for WRB business. To provide thought leadership and acts as a subject matter expert to design and recommend appropriate analytical solution in addressing key issues within the WRB business. Takes end-to-end responsibility for translating business question into data science requirements and actions. Ensures model governance, including documentation, validation, maintenance, etc. Responsible for performing the AI solution development and delivery for enabling high impact marketing use cases across products, segments in WRB markets. Responsible for alignment with country product, segment and Group product and segment teams on key business use cases to address with AI solutions, in accordance with the model governance framework. Aligning with TTO/CDO on the analytics platform and the data feeds utilized for the development and hosting of the AI solutions. Responsible for enabling the marketing use cases in RTIM system with AI solutions and artifacts.

Responsibilities

• Analyse and agree on the Model Design for Analytics projects
• On the agreed methodology develop and deliver the models
• Partner creating implementation plan with Project owner including models benefit
• Support on the deployment of the initiatives including scoring or implementation though any system
• Consolidate or Track Model performance for periodic model performance assessment
• Create the technical and review documents for approval
• Client Lifecycle Management (Acquire, Activation, Cross Sell/Up Sell, Retention & Win-back)
• Enable scientific 'test and learn' for direct to client campaigns
• Leads and trigger development from both segmentation and propensity models
• Pricing analytics and optimization
• Digital analytics including social media data analytics for any new methodologies
• Channel optimization
• Client wallet utilization prediction both off-us and on-us
• Client and product profitability prediction

Requirements

• Data Science
• Anti Money Laundering Policies & procedures
• Modelling: Data, Process, Events, Objects
• Banking Products

Benefits

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.