Job Description
<h3>π Description</h3> β’ Combine data sources and apply multiple data and algorithmic approaches to create a clear, cohesive, static and temporal picture of banking customers, actionable for both humans and algorithms.
β’ Collaborate with business partners to develop meaningful segments to target and optimize consumer interactions based on shared preferences and behaviors.
β’ Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities.
β’ Create well-organized datasets and data processing, algorithm implementations and recommended visualizations that can support implementation in our platform software and documentation, feature and functionality descriptions and customer engagement as needed
β’ Proactively explore available data to size and project opportunities to improve our products, services or client and consumer experience. <h3>π― Requirements</h3> β’ 5+ years experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications.
β’ Independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models.
β’ Knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, neural networks and deep learning techniques.
β’ Experience in reinforcement learning and multi-armed bandit applications is highly preferred.
β’ Strong working knowledge of Python-based ML frameworks and cloud computing environments.
β’ Exceptional communication skills for diverse audiences; strong interpersonal skills and ability to influence.
β’ Advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or related technical discipline <h3>ποΈ Benefits</h3> β’ Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from
β’ Flexible working options, including home working, flexible hours and part time options, depending on the role requirements β please ask!
β’ Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!
β’ Learning and development tools to assist with your career development
β’ Work with industry leading Subject Matter Experts and specialist products
β’ Regular social events and networking opportunities
β’ Collaborative, supportive culture, including an active DE&I program
β’ Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services