Partner with Marketing teams to analyze and optimize the full customer funnel.
Build and maintain statistical models and analyses related to key marketing use cases.
Design, analyze, and interpret experiments across marketing channels and on-site experiences.
Hone is an online medical clinic transforming healthcare and enhancing longevity by using scientific advancements. They empower men and women to take control of their health. Hone is a fully virtual, remote-first employer that values its employees.
Engineer and validate consumer-level attributes from credit bureau and alternative data sources.
Apply statistical techniques to uncover insights and improve predictiveness.
Monitor attribute performance for stability, compliance, and accuracy.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, investing in people and new advanced technologies to unlock the power of data.
Build industry-leading machine learning models for managing credit and fraud risks
Leverage multiple complex data sources such as credit bureau reports and customer supplied information at large scale to optimize approve/decline and credit line assignment decisions
Propose and execute solutions to various problems within business constraints
Prosper was founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S. They have helped more than 2 million people gain access to affordable credit with over $28 billion in loans originated through its platform. Prosper has a diverse culture that rewards accountability and cross-functional teamwork, encouraging innovative thinking.
Manage our thought leadership strategy, grounded in data analysis and empirical thoughtfulness.
Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights.
Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and their corporate headquarters are in Dublin, Ireland.
Building, maintaining and enhancing credit risk models for lending portfolios.
Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics to perform model and portfolio monitoring.
Perform exploratory data analysis (EDA) to identify portfolio trends, drivers of loss performance and provide insight into model deviations.
Achieve is a digital personal finance company that provides personalized financial solutions. They leverage data and analytics to offer personal loans, home equity loans, debt consolidation, and financial tools. They have over 3,000 employees and a strong people-first culture.
Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud.
Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability.
Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and corporate headquarters are in Dublin, Ireland.
Partner closely with AI Decisioning customers and internal engineering teams.
Diagnose model behavior, tune ML levers, and analyze incrementality.
Explain insights to marketers and executives.
Hightouch is the modern AI platform for marketing and growth teams, partnering with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Contribute to the ML Roadmap : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
Prototype & Scale : Design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
Data Strategy : Collaborate with engineering, product, and business teams to improve data collection practices and ensure we’re capturing the right signals for modeling
HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. Founded in 2017, HALA has a diverse culture that encourages innovation and flexibility.
Serve as the primary technical partner to Finance, translating vague business questions into concrete quantitative analyses and automated reporting products.
Own the data lifecycle from raw ingestion to visualization; architecting clean, documented dbt models that replace manual ad hoc queries.
Apply statistical techniques to explain variances in performance and improve the accuracy of forecast models.
Lime is a global shared micromobility business, operating in close to 30 countries. They aim to build a future where transportation is shared, affordable, and carbon-free, with electric bikes and scooters powering over one billion rides.
Set the vision for how product data science drives growth, especially in acquisition and activation funnels.
Refine and align on our metric tree, ensuring focus on the right measures of success.
Manage and develop a team of data scientists, including performance reviews and growth paths.
At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it.
Transform data into actionable insights for product, operational, and business decisions. Analyze complex datasets and build predictive models to solve ambiguous problems. Collaborate with cross-functional teams to define data needs and drive data-driven solutions.
Oowlish is one of Latin America's rapidly expanding software development companies.
Conduct advanced data analysis and modeling to generate insights using statistical models and machine learning.
Translate complex data science concepts into actionable business insights for senior executives.
Collaborate with cross-functional teams to ensure the successful delivery of high-impact data science initiatives.
ConnectiveRx untangles the prescription process and creates a clear path—allowing patients to build trusting relationships with their medication brands.
Join our efforts in the application of Network Science to our business. You will use your programming skills to build and maintain pipelines that transform vanilla tabular data into informative graphs. You will exercise your curiosity and creativity to propose solutions to problems.
Leverage advanced data analytics to derive insights and optimise credit strategies across products and geographies.
Partner with Engineering to design and build scalable risk models and credit risk capabilities.
Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements across jurisdictions, and translate them into credit policy, underwriting, and product design recommendations.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a fast-growing FinTech company committed to redefining responsible consumer lending.
Support design and monitoring of EWA underwriting strategies and forecasting tools.
Query, clean, and analyze large bank transaction datasets using SQL and Python, or R/SAS).
Partner with Product, Engineering, Data Science, and Operations to implement updates to policies and decisioning logic.
Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. Their team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit.