Sr Data Scientist

Senior Data Scientist Remote (US) $120,000 - $134,000 Base + 20% Bonus + Equity This is an opportunity to join a fast-growing, data-driven financial services business where Data Science sits at the heart of decision-making. You'll work on high-impact predictive modelling challenges, own models from development through production, and help shape the future of a sophisticated analytics function. The Company They are a technology-focused consumer finance organisation using data and advanced analytics to improve decision-making and customer outcomes. With a strong investment in Data Science and machine learning, they have built a collaborative environment where technical innovation and business impact go hand in hand. The business values curiosity, thoughtful problem-solving, and a practical approach to delivering results. This is an excellent opportunity to join a growing team where your work will have clear visibility and measurable impact. The Role As a Senior Data Scientist, you will develop and deploy predictive models that support critical business decisions in a highly data-rich environment. Key responsibilities include: Build, deploy, and maintain machine learning and predictive models from development through production Partner with business stakeholders to understand challenges and translate them into scalable Data Science solutions Monitor model performance, identify drift, and continuously improve predictive accuracy Evaluate new data sources, features, and modelling techniques to enhance model effectiveness Apply best practices across model development, testing, validation, and deployment Work closely with engineering and analytics teams to operationalise Data Science solutions Contribute to the ongoing development of a modern machine learning environment and modelling framework Deliver insights and recommendations that drive measurable business outcomes Your Skills & Experience Strong commercial experience as a Data Scientist developing predictive models Experience taking machine learning models from development through production deployment Proven ability to monitor, maintain, and improve production models Strong Python skills and experience working with machine learning libraries such as scikit-learn or similar Experience working within cloud-based or production-scale analytics environments Ability to communicate technical findings to a range of stakeholders Experience within financial services, lending, insurance, risk analytics, or other predictive modelling environments is advantageous Familiarity with MLOps, model monitoring, and modern deployment practices is beneficial What They Offer Base salary of $120,000 - $134,000 20% annual bonus Equity package Fully remote working environment Opportunity to work on production Data Science models with direct business impact Exposure to modern machine learning and cloud technologies Collaborative and intellectually curious team culture Strong opportunities for career development and progression How to Apply If you're a Data Scientist who enjoys building production-ready machine learning models and solving complex business challenges, apply today to learn more about this opportunity.