Experian
Venture capital arm funding data startups
Data Science Summer Intern - Remote & Paid
About the job
- Return to school in the Fall of 2026 to complete degree program
- Currently enrolled in a PhD degree program in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or other quantitative fields
- Experience in analytics, data mining, and/or predictive modeling
- Experience modifying and applying advanced algorithms to address practical problems
- Experience with deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and/or reinforcement learning
- Experience with open-source tools for deep learning and machine learning technology such as PyTorch, Keras, TensorFlow, scikit-learn, pandas
- Experience with large data analysis using Spark (pySpark preferred)
- Proficient in more than one of Python, R, Java, C++, or C
- Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources
- Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques
- Refine data manipulation and retrieval through the design of efficient data structures and storage solutions
- Innovate with tools designed for data processing and information retrieval
- Dissect and document vast datasets, analyzing and processing them to highlight patterns and insights
- Solve complex challenges by developing impactful algorithms
- Ensure model excellence by validating performance scores and analyzing ROI and benefits
- Articulate model processes and outcomes, documenting and presenting findings and performance metrics
About the company
Experian Ventures is the venture capital arm of Experian, a global information services company. It provides investment capital and strategic partnerships to startups, helping them grow by leveraging Experian’s data assets, technology, and global network. The fund focuses on backing entrepreneurs who can disrupt data- and tech-driven markets, using Experian’s platforms and reach to accelerate portfolio companies. Unlike standalone funds, it differentiates itself with access to Experian’s scale, data resources, and worldwide offices, enabling closer collaboration and faster go-to-market support. The goal is to fund and mentor startups that can shape the future of information services while expanding Experian’s ecosystem and influence across regions.
Company Size
1-10
Company Stage
N/A
Total Funding
$82M
Headquarters
Costa Mesa, California
Founded
1995
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Simplify's Take
What believers are saying
- FY26 revenue reached $8.445 billion, with 8% organic growth and 15% EPS growth.
- May 2026 announced $1 billion buyback signals cash generation and management confidence.
- KYC360 acquisition and AutoUnify investment expand Experian deeper into fraud, AML, and automotive commerce.
What critics are saying
- AI Sponsored Snaps and ChatGPT experiences commoditize Experian’s consumer-facing credit education by 2027.
- FICO and in-house bank AI models pressure Experian’s bureau relevance as lenders automate underwriting.
- FY27 organic guidance of 6-8% trails investor expectations after May 2026 stock selloff.
What makes Experian unique
- Experian’s Ascend platform bundles credit, fraud, identity, and decisioning into one workflow.
- Experian’s data moat spans 250 million U.S. consumers and broad global bureau coverage.
- Experian now sells VantageScore 4.0, KYC360, and Verify across housing, lending, and compliance.
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Benefits
Remote Work Options
Professional Development Budget
Company News
Experian reported a 26% increase in statutory pre-tax profit to $1.95 billion and announced a $1 billion share buyback programme, yet its stock plunged 7% as investors focused on conservative growth forecasts and AI concerns. The data analytics company posted full-year revenue of $8.45 billion with 15% growth in benchmark operating profit. However, its fiscal 2027 organic revenue growth guidance of 6-8% fell below the 8% analyst consensus. CEO Brian Cassin cited economic volatility and cautious banking clients slowing credit card issuance. The sell-off reflects investor anxiety that generative AI could make traditional credit checking obsolete. Markets interpreted the massive buyback as defensive rather than transformational, questioning whether Experian can compete as banks develop internal AI tools for risk analysis.
Experian has launched an AI chatbot on Snapchat to provide financial advice, targeting younger consumers on a platform they already use. The credit bureau aims to deliver trusted financial information to help build financial literacy amongst users who might not otherwise seek professional guidance. Rob Burnette, CEO of Outlook Financial Center, views AI chatbots as useful tools for answering broad financial questions, such as improving credit scores. However, he cautions that AI cannot address individual circumstances without specific personal data, which users should avoid sharing online. Burnette recommends verifying information sources when using AI chatbots and consulting human advisers for personalised financial decisions. Whilst not threatened by AI, he emphasises its limitations in handling the nuanced, context-specific nature of personal finance.
Xactus has integrated the Experian Verify Preview Report into its Xactus360 Intelligent Verification Platform, providing lenders with upfront visibility into borrower employment data at no additional cost. The tool allows lenders to see which employment records are available for instant verification before ordering a full verification of employment and income report. Previously, lenders had to order a full VOE/I report to determine if usable data existed. Xactus is the first to embed this capability directly within the credit report workflow, eliminating the need for separate verification relationships or additional steps. The enhancement is automatically included for Xactus clients who order credit reports through the platform and use Experian Verify, requiring no new integrations or workflow changes.
Palenca, a Mexican income verification platform for financial institutions, has raised $4 million in a Series A round led by Experian, with participation from Foundation Capital, Gilgamesh Ventures and Dhow Ventures. The company addresses a critical gap in Mexico's financial inclusion: the lack of reliable income data prevents credit expansion to new segments. Without verifiable income information, financial institutions must either limit their reach or assume greater risk. Palenca's platform validates income from various sources, including informal employment, to integrate them into credit and risk decisions. The funding will develop new data products, expand income source validation and strengthen predictive models using artificial intelligence. The company processed nearly 5 million verifications in 2025 and projects reaching 20 million this year, enabling banks to extend credit to previously excluded populations.
Experian has integrated its AI-powered financial education tools into Snapchat's new AI Sponsored Snaps advertising format, allowing users to ask money questions directly within the app's chat experience. The integration aims to transform everyday messaging into an interactive learning and brand engagement channel for younger users. Snap's investment case hinges on whether its combination of augmented reality, AI and Gen Z engagement can generate profitable revenue. The company reported over 110 million US monthly users and 950 billion chats in Q1 2026. The Experian partnership demonstrates how Snap is testing conversational AI to deepen engagement and improve advertising performance. Snap's narrative projects $7.9 billion revenue and $709.3 million earnings by 2029, requiring 10.2% yearly revenue growth. Some analysts forecast $8.5 billion revenue by 2029, though this depends on AR and AI investments delivering stronger returns than currently expected.