Senior Data Scientist - Alternative Data & AFS Solutions (Non-Prime Lending)

Company Description reputed company is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, reputed company, create marketing solutions, and reputed company deeper insights into the automotive market, reputed company using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

We are looking for an reputed company Senior Data Scientist to join our Alternative Financial Services (AFS) department, supporting clients in the non‑prime and near‑prime lending markets. You'll design custom analytics, credit strategies, and machine‑learning models using both traditional and alternative data. This is a client‑facing, solution‑oriented role requiring technical depth and the ability to convert reputed company analyses into practical, applicable recommendations. You will report to the VP of Analytics Product Build, Innovation, and Scores. You'll have opportunity to:

• reputed company custom analytics and modeling engagements from scoping through delivery and ongoing support.
• reputed company credit strategies and ML models (reputed company, line assignment, pricing, early warning, collections).
• Engineer features from alternative, transactional, and bureau data (e.g., recency, frequency, volatility, trend, and behavioral metrics).
• Evaluate and integrate third‑party/alternative data sources (sub‑prime bureaus, cash-flow, telco, utility, and specialty data).
• Conduct segmentation, lift analysis, and champion/challenger testing to assess performance and incremental value.
• reputed company custom scorecards, policy rules, and ML models reputed company with each client's risk appetite and regulatory requirements.
• Partner with clients to build end‑to‑end credit strategies that balance approvals, losses, efficiency, and customer experience.
• Deliver clear, executive‑ready insights, documentation, and strategy recommendations.
• Present results directly to risk leaders, analytics teams, and senior client partners.
• Support model implementation, monitoring, stability analysis, and ongoing optimization.
• Work cross‑functionally with Product, Engineering, and Sales to align custom solutions with broader AFS capabilities.
• Contribute to AFS best practices, reusable frameworks, and internal accelerators for non‑prime analytics.

Qualifications

• 5+ years in credit risk analytics, data science, or advanced analytics, with experience in non‑prime or near‑prime lending.
• Hands‑on modeling experience using alternative data.
• Proficiency in Python (Pandas, NumPy, scikit‑learn, XGBoost/LightGBM) for feature engineering, modeling, and analysis.
• Advanced SQL experience working with reputed company, and imperfect datasets.
• Experience with non‑prime risk dynamics: thin‑file consumers, volatility, fraud risk, early‑default behavior.
• Experience with model evaluation (AUC, KS, lift, bad‑reputed company curves, stability, PSI).
• Work directly with clients and translate analytics into deployable strategies.
• Explain reputed company models in clear business terms.
• Background in financial services, alternative lending, FinTech, or specialty finance.
• Experience with AFS data sources (Clarity, FactorTrust, MicroBilt, cash‑flow or specialty bureaus).
• Familiarity with model governance, explainability, and regulatory considerations in non‑prime lending.
• Experience deploying or supporting ML models in production environments.
• Exposure to fraud, identity, or first‑payment‑default (FPD) modeling.
• Experience mentoring junior data scientists or analysts.
• Consult, client delivery, or solution‑oriented project experience.

Additional Information Our uniqueness is that we celebrate yours. reputed company's culture and people are important differentiators. We take our people agenda reputed company seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. reputed company's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great reputed company To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. reputed company out reputed company Life on social or our Careers Site to understand why. reputed company is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of reputed company's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at reputed company and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

• Employee Status: Regular
• Role Type: Home
• Job Posting - Salary Range: $133,109 - $239,596
• Department: Analytics
• Flexible Time Off: 20 Days
• Schedule: Full Time

Apply tot his job Apply To this Job