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[Remote] Principal Data Scientist - Data Asset Evaluation & Strategic Partnership

100% Remote Full-time Open now

Note: The job is a remote job and is open to candidates in USA. Experian is a global data and technology company that empowers opportunities for people and businesses. They are seeking a Principal Data Scientist to evaluate new data assets, lead quantitative due diligence for M&A targets, and partner with various teams to assess the predictive power and regulatory viability of external datasets.

Responsibilities

  • 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
  • Conduct benchmarking and champion/challenger analyses comparing external data assets with internal attributes, scores, and models
  • Engineer consumer, account, or business-level features from raw or event-level data, especially for early-stage data providers
  • Develop and test feature construction methods (recency, frequency, velocity, volatility, trend, and stability) to evaluate modeling potential
  • Assess data assets across the full credit lifecycle—acquisition, underwriting, account management, early warning, and loss mitigation
  • Translate analytical findings into investment theses, valuation inputs, and go/no-go recommendations for Product and Corporate Development
  • Evaluate regulatory and compliance considerations: explainability, permissible purpose, adverse action suitability, data provenance, and governance
  • Partner with Legal and Privacy teams to assess consent, permissible use, data rights, and regulatory risks
  • Build repeatable toolkits, scorecards, and dashboards to standardize how data assets are evaluated
  • Lead technical deep dives and data reviews with external data providers, fintechs, and potential acquisition targets
  • Present findings to senior partners through executive-ready materials that communicates risk, value, integration effort, and strategic fit
  • Support post‑acquisition or post‑partnership integration through guidance on feature pipelines, monitoring strategies, and performance tracking

Skills

  • 5+ years of experience in data science, credit risk analytics, or advanced analytics within financial services, FinTech, or data-driven platforms
  • Hands-on experience transforming raw transactional, event-level, or unstructured data into model-ready features
  • Proficiency in Python (Pandas, NumPy, SciPy, scikit‑learn, SQLAlchemy) for feature engineering, validation, and analysis
  • Advanced SQL experience with large, multi-source datasets
  • Experience with credit risk metrics and model evaluation (AUC, KS, lift, PSI, stability, and back‑testing)
  • Experience designing incremental value tests, challenger analyses, and controlled experiments
  • Summarize complex analytical outcomes into clear, defensible business recommendations
  • Comfortable presenting in high‑visibility, decision-oriented environments
  • Experience collaborating across Product, Risk, Legal, Compliance, and Strategy teams
  • Experience supporting M&A due diligence, data acquisitions, or strategic partnership evaluations
  • Familiarity with fair lending expectations, model explainability, and regulatory compliance for new data usage
  • Experience evaluating early-stage fintechs or data-as-a-service providers with developing data products
  • Exposure to ML models used for underwriting, fraud, or early-warning systems
  • Experience building standardized evaluation frameworks or internal analytics guides
  • Understanding of data commercialization and productization considerations

Benefits

  • DEI
  • Work/life balance
  • Development
  • Authenticity
  • Collaboration
  • Wellness
  • Reward & recognition
  • Volunteering

Company Overview

  • Experian is a data analytics and consumer credit reporting company. It was founded in 1980, and is headquartered in Dublin, Dublin, IRL, with a workforce of 10001+ employees. Its website is http://www.experianplc.com.

Company H1B Sponsorship

  • Experian has a track record of offering H1B sponsorships, with 8 in 2025, 18 in 2024, 9 in 2023, 16 in 2022, 19 in 2021, 23 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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