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.
Study new data sources and structure databases for analysis.
Build features using Feature Learning and evaluate their performance in score models.
Create innovative solutions for all market segments using statistical techniques and Big Data.
Experian is a global data and technology company that drives opportunities for people and businesses. With 25,200 employees across 32 countries, they foster a people-centric, inclusive culture recognized by awards like World's Best Workplaces.
Develop credit risk models using statistical techniques and Machine Learning with Python.
Manipulate, explore, and analyze large datasets using Python.
Conduct ad hoc studies and statistical analyses to support decision-making and translate technical concepts into clear insights.
Experian is a global data and technology company that creates opportunities for people and businesses. With 25,200 employees in 32 countries, it has a people-centric, inclusive culture recognized by multiple awards.
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.
Assist in collecting, cleaning, processing, and analyzing structured and unstructured datasets.
Develop and maintain data models, algorithms, and analytical solutions under guidance.
Apply statistical methods and machine learning techniques to solve business problems.
The company works on innovative digital products and technology-driven projects. It has a collaborative, global work environment with exposure to diverse teams and perspectives.
Develop and monitor predictive credit scoring and churn models using transactional data.
Implement generative AI and advanced algorithms to automate credit analysis and ensure compliance.
Design real-time dashboards to track key performance indicators like FPD and PDD.
Wellhub is revolutionizing workplace wellness by connecting employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep. Headquartered in NYC with team members across Europe, North America, and South America, we have a collaborative culture that values wellbeing and diversity.
Partner with cross-functional teams to drive data-driven decisions across product, operations, and business.
Design and analyze experiments, develop predictive models, and build dashboards and reports.
Use advanced SQL, Python, and statistical techniques to extract insights from large datasets.
ecoATM is a technology company and pioneer of device re-commerce, operating automated kiosks and online marketplace Gazelle.com to enable mobile device re-use. They value their employees and foster a culture of growth, impact, and collaboration.
Develop and maintain fraud detection models through the full model development lifecycle, from data acquisition to monitoring.
Research new types of fraud and build products around identity verification using Python and AWS infrastructure.
Write production-ready code and present analyses to inform data acquisition, product development, and marketing efforts.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. Backed by world-class investors including Craft Ventures and Andreessen Horowitz, the company has grown rapidly, verifying hundreds of millions of identities and earning recognition from Forbes and CNBC.
Build and deploy machine learning models for credit and fraud risk management.
Collaborate with engineering to deploy models into production and analyze portfolio performance.
Communicate findings to stakeholders and develop internal tools for data science productivity.
Prosper is a fintech company that offers personal loans and credit cards through a digital marketplace. They have helped over 2 million customers and emphasize a collaborative, inclusive culture with flexible work options.