Remote Data Jobs · Modeling

Experian is looking for a Data Scientist to join our Marketplace Decision Optimization team. You will be part of a large, revenue-driving team that operates on an entirely cloud-based analytical platform. You will work with other data scientists and analysts to support data-driven decision-making processes. You will be responsible for data collection, cleaning, and analysis, and developing machine learning models.

The Workforce Planning team is seeking a Senior Analytics lead to support call volume forecasting within our Service organization. This role will own long term forecasts for multiple call centers and consult on short term and partner volume forecasts, including understanding call volume drivers, such as policy sales/retention, telephony routing, eService/self service options, and underwriting/pricing changes. This role will create forecasts and review forecasts created by junior/contracted analysts and will own explaining those forecasts to service stakeholders.

Build out our foundational processes for generating and surfacing model performance metrics, including crafting + calculating the metrics and building python rails. Act as point of contact for Strategic Financial Partners and manage their model governance needs. Regularly conduct performance and exploratory analyses to establish the quality of model outcomes.

Experian is looking for an experienced Senior AI Data Scientist to join our Analytic Innovations group to focus on developing agentic AI solutions and advanced marketing analytics models that move strategic decision-making across the consumer credit lifecycle. This individual will have deep technical expertise in coding intelligent agents, experience in marketing analytics for consumer lending products with modeling knowledge plus experience applying AI to real-world challenges in financial services.

Care Delivery’s Capacity & Analytics team is responsible for care team capacity modeling, care team scheduling, data analysis & reporting, and workforce optimization. Omada is hiring a Senior Data Analyst to join Care Delivery’s Capacity & Analytics team to build and improve a capacity model, own analysis in support of care delivery initiatives, and define metrics and KPIs.

A Survey Scientist is expected to use a combination of statistics, programming, and domain knowledge to solve problems, focus on creating the methodological backbone for our general purpose products, but also lean in on client projects. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren’t afraid of messy data and are comfortable working in a fast paced, production-oriented environment.

Model, analyze, and optimize how real AI workloads run on the Tensix architecture, shaping future hardware features and ensuring every design decision delivers measurable performance gains. This role connects architecture, software, and RTL to push the limits of efficiency and scalability across next-generation AI systems. Deeply analytical engineer with strong intuition for AI workload behavior and system-level performance bottlenecks.

You are a motivated Senior Data Scientist who is passionate about driving results and bringing a creative approach to solving complex problems. In this role, you will lead the development and deployment of advanced analytics solutions to drive strategic decision-making across the organization. You will be responsible for generating data-driven insights using advanced statistical and modeling techniques, transforming technical findings into actionable strategies that impact key aspects of the business and support organizational growth.

We're building a world-class financial product and need someone to help take our data operations to the next level. The team is growing fast, and we’re looking for a Predictive Modeller to join us. You understand the data-driven decision making needs of a high-growth organization and are focused on concrete outcomes and KPIs.

Lead a regional team of data and modelling professionals responsible for developing and enhancing Energy Exemplar’s European datasets across electricity, gas, hydrogen, and emerging energy markets. Reporting the VP of Data and Insights, this role combines technical expertise with strong leadership and stakeholder management to ensure the delivery of accurate, high-quality, and simulation-ready datasets within PLEXOS, aligned with customer needs and evolving market dynamics.