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.
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.
We are seeking a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team. Work on designing, building, and enhancing AI-powered analytics solutions that transform how organizations manage financial risk and optimize spend. Collaborate closely with product managers, engineers, and fellow data scientists to deliver machine learning models and analytical tools that have a direct impact on business outcomes.
Jobgether is a company that uses AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
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.
Identify and propose ML opportunities related to your scope and beyond
Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
Deploy and test ML applications using our MLOps infrastructure
Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. They are growing fast and are one of the most impactful, fastest-growing Tech companies in Africa.
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.
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.
Understand complex business challenges and translate them into data science problems.
Design and implement machine learning models, statistical tests, and optimization strategies.
Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
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.
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.
Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Identify and address business challenges through data-driven solutions.
Develop and implement Machine Learning and statistical models.
Design experiments to validate hypotheses and measure impact.
Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-driven mindset, our teams lead complex software projects from architecture to execution. They value autonomy, clear communication, and technical excellence.
Define, plan, and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automation.
Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.
Test-driven development of scalable data processing applications.
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
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.
Analyze unstructured and semi-structured data using advanced computational methods.
Develop and implement algorithms for large-scale data analysis on distributed and cloud-based infrastructures.
Process and index high-volume data collections and high-velocity data streams.
EXPANSIA is a service-disabled veteran-owned company that empowers organizations to be mission ready now with data, people, and ecosystems. As experts in continuous-delivery methods that drive digital adoption, they are dedicated to innovation, efficiency, and technology that benefit the warfighter.
Utilize strong SQL & Python skills to engineer sound data pipelines and conduct routine and ad hoc analysis.
Build reporting dashboards and visualizations to design, create, and track campaign/program KPIs.
Perform analyses on large data sets to understand drivers of operational efficiency.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. This company fosters a supportive and inclusive work environment.
Collaborate with cross-functional partners across Product, Engineering, Research, and more to solve product development's biggest challenges.
Use data to identify opportunities, upcoming challenges, and ensure products bring value to people and businesses.
Partner with teams to prioritize what to build, set goals, and understand their product’s ecosystem.
Atlassian's software products help teams all over the planet, with solutions designed for all types of work. Team collaboration through their tools makes what may be impossible alone, possible together; they value the unique contributions of all Atlassians.
Analyze integrated datasets to influence business decisions.
Collaborate with stakeholders to develop solutions and deliver insights.
Identify and resolve data, process, and technical issues.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly. They objectively and fairly assess fit based on the role's core requirements, identifying top candidates for hiring companies.