Formatting, reviewing and validating insurance company statistical data feeds reported to industry regulators on behalf of insurance companies. Running formatting and data validation programs, evaluating data quality results, performing financial reconciliations and creating analysis reports for clients. Assisting in consultations with clients which incudes providing explanations of edit results, recommendations for coding and financial changes and updating companies on reporting requirements.
The Data Analyst will build data tables and dashboards to enable further monitoring of our Technical Content team’s core metrics and content performance. In addition, you will update existing queries to improve performance and quality of output. This is up to 40 hours per week, with flexibility available.
We’re looking for an accomplished and well-rounded manager to lead the Data Engineering team in designing, building, and maintaining scalable data pipelines and storage systems that support data science, analytics, and data-driven decision-making. This role is a critical intersection of technical expertise, team leadership, and strategic planning, aimed at optimizing the data architecture to meet the evolving business needs.
As a Senior AWS Data Engineer, you will build, maintain, and scale our core data infrastructure across Redshift, Airflow, and AWS. You will work closely with both Platform and Product Engineering teams to ensure our data systems are secure, reliable, and easy to work with. This role involves productizing our internal data services, reducing internal friction, and turning our data architecture into a key market differentiator.
The Experian Innovation Lab is seeking a Data Scientist to develop analytical solutions, contribute to product prototypes, and evaluate data assets. The Data Scientist will craft advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources. Solve complex challenges by developing impactful algorithms, and ensure model excellence by validating performance scores.
The primary job function is to work largely independently to monitor, audit and analyze product performance, recognize opportunities and make recommendations to achieve overall profitability and growth in assigned states and line of business. Provide assistance and contribute to product and pricing improvements and development of next generation insurance products.
Assist data science team in preparing source document for AI models and anonymising documents. Document labelling and capturing content in a structured output. Analyze LLM/model outputs and validate against ground truth. Evaluate / analyze model accuracy in relation to business /functional factors through manual testing.
Be the primary data scientist on our Places app, with full ownership over how data is used to build and optimize a recommendations-first experience. Shape our data strategy from the ground up and have a direct, visible impact across the entire product. Work closely with product, engineering, and design to explore user behavior, run experiments, and make our product more personalized and impactful.
This position supports loan resolution activities related to data reporting, validation, and model testing. You will be comfortable working with large amounts of data in multiple systems and synthesizing data into actionable insights. Frequent collaboration with other areas of the credit union is expected. Internship to start January 2026.