In this role, youll collect, analyze, and interpret data, uncovering trends that shape business strategy. Youll collaborate with stakeholders to design impactful solutions, optimize processes, and enhance overall performance. Key Responsibilities: Data Collection & Preparation Gather, clean, and transform data from multiple sources for analysis. Ensure data quality, resolving inconsistencies and anomalies. Work with SQL, Python, and BigQuery, keeping up with emerging tools and trends. Data Analysis & Insights Analyze large datasets to uncover patterns, trends, and actionable insights. Create clear visualizations and support reporting, scorecards, and credit policy analysis. Business Decision Support Collaborate with stakeholders to deliver analytical solutions that guide decisions. Support initiatives such as market analysis, customer segmentation, and performance tracking. Identify opportunities to improve processes and optimize revenue. Continuous Learning & Development Stay updated on best practices, technologies, and trends in data science. Expand skills in statistical analysis, modeling, and visualization tools. Engage in ongoing professional development and knowledge sharing. Job Experience and Skills Required: Bachelors or Masters degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or a related field. 3 years of proven experience as a Data Scientist or in a similar role, ideally within credit or financial services. Proficiency in GCP (Google Cloud Platform), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker. Strong analytical and problem-solving skills, with the ability to work with large datasets. Experience in statistical analysis and data modeling. Excellent communication and presentation skills. Solid working knowledge of Microsoft Excel and other data manipulation tools. Familiarity with data governance and awareness of data privacy regulations is advantageous. Apply now!

Key Responsibilities: Collect, extract, and compile data from multiple sources, ensuring accuracy and consistency. Clean and transform raw data into structured, usable datasets. Conduct exploratory and statistical analysis to identify trends and patterns. Build and maintain scorecards, models, and reports to support decision-making. Use data visualization techniques to present insights clearly to stakeholders. Provide analytical support for projects including market analysis, customer segmentation, and performance tracking. Identify opportunities to streamline processes, increase efficiency, and optimize revenue. Stay up to date with emerging technologies, tools, and best practices in data science and analytics. Requirements: Bachelors or Masters degree in Mathematics, Computer Science, Data Analytics/Science, or a related field. 5 years of proven experience as a Data Scientist or in a similar role, preferably within credit or financial services. Proficiency in Google Cloud Platform (GCP), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker. Strong analytical and problem-solving skills with experience handling large datasets. Solid knowledge of statistical analysis and data modeling. Excellent communication and presentation skills. Strong working knowledge of Microsoft Excel and other data manipulation tools. Familiarity with data governance and awareness of data privacy regulations is a plus. Whats in it for You? A chance to work in a high-growth, innovative environment. Opportunities to make a tangible impact through data-driven decision-making. Continuous professional development and learning opportunities. Dont miss out apply today!

Expertise in credit scorecards, application & behavior models, or risk segmentation (we’re talking real ghost-hunting credit tools here) Minimum 4 years battling unstructured data, building models, and taming statistical anomalies Python, R, SQL, SAS your modeling toolkit is fully loaded Youve worked with large datasets, credit bureaus, and regulatory requirements and lived to tell the tale A degree in Data Science, Statistics, Mathematics, Computer Science, or other ghost-fighting disciplines Ready to cross the streams with and suit up? Send your credentials (and maybe your favorite ghost story) Contact Chelsea Fisher on