Develop statistical and machine learning models for credit and risk applications.
Conduct all stages of model development from data exploration to deployment.
Collaborate with cross-functional teams to translate business needs into analytical solutions.
Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees across 32 countries, it fosters an inclusive, purpose-driven culture recognized as a Great Place to Work.
Conduct studies and analyses to understand business needs and deliver actionable insights.
Manipulate large datasets using Python and SQL, and create visualizations with Power BI or Tableau.
Collaborate with internal teams and external clients to propose solutions and present findings effectively.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. It has 25,200 employees across 32 countries and is recognized for its people-centric culture, winning awards such as World's Best Workplaces™ 2025.
Connect data, customer behavior, and campaign performance to drive personalized CRM strategies for SME clients.
Translate NBO/NBA model outputs into actionable hypotheses, tests, and communication campaigns.
Partner with CRM, Marketing, Sales, Product, Data Science, and Analytics teams to embed analytical intelligence into customer journeys.
Experian is a global data and technology company that drives opportunities for people and businesses worldwide. With 25,200 employees across 32 countries, the company fosters a people-centric, inclusive culture recognized by awards such as World's Best Workplaces 2025 and Great Place to Work in 26 countries.
Develop credit and fraud strategies using data, machine learning models, and advanced analytics to optimize risk decisions.
Design A/B tests to balance risk and customer experience, and partner with Data Science, Product, and Engineering teams.
Analyze portfolio performance at a granular level, identify trends, and communicate findings to Risk Management.
Prosper is a fintech company that pioneered peer-to-peer lending in the US, offering personal loans and credit cards to help consumers achieve financial well-being. Since 2005, it has served over 2 million customers and fosters a culture of collaboration, curiosity, and accountability.
Own the full lifecycle of statistical and machine learning model development, from data exploration to deployment.
Improve efficiency in credit risk, fraud, marketing, and collections by deploying modeling solutions.
Research and develop new methods and tools to improve the business and present results to leadership.
Attain Finance is a consumer credit lender with over 50 years of expertise providing credit solutions across the U.S. and Canada. The company is a leading lender with a dynamic, collaborative culture and a portfolio of distinguished brands.
Collaborate on innovative data solutions with a team of consultants, data scientists, and engineers.
Manage end-to-end project value chain including data collection, analysis, ML models, and production.
Communicate technical concepts to business stakeholders and prioritize tasks with deadlines.
Artefact LatAm is a data consulting firm that helps clients transform their data strategy using advanced analytics and AI. They focus on building a diverse and inclusive culture where all voices are heard and valued.
Build and deploy machine learning models to detect and respond to fraud across the platform.
Design experiments to measure the impact of fraud interventions, balancing customer experience and loss reduction.
Collaborate with fraud operations, engineers, and product managers to translate model outputs into real-world mitigations.
Moniepoint is Africa's fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions in transactions monthly. They have a people-first culture focused on learning and inclusion, valuing diversity and employee well-being.
Build statistical models and machine learning solutions to surface trends and benchmarks from employee relations case data.
Apply NLP and text analytics to extract structure from unstructured case notes and improve anonymization pipelines.
Collaborate with Product and Engineering to translate analytical findings into product decisions and customer-facing insights.
HR Acuity provides employee relations case management and investigation software, helping organizations standardize workplace issue reporting. They are a fast-growing, innovative company with a female founder CEO and an inclusive culture.
Architect, deploy, and optimize machine learning models for production environments, including search, recommendation, and conversational AI.
Design experiments and analyze large datasets to validate hypotheses and improve product performance.
Collaborate cross-functionally with product managers, engineers, and ML specialists to deliver impactful AI-driven solutions.
This role is listed by Jobgether, a company that uses AI-powered matching to connect candidates with hiring employers. They operate in a remote-first model with a high-performance, collaborative environment, offering opportunities to work alongside top technology professionals.