10,000+ Active Jobs
|
500+ Hiring Companies
|
100% Verified Jobs
India
HiringGo Logo
Companies
Exclusive Jobs
Jobs Login
Homeโ€บCompaniesโ€บremote nextโ€บSenior Data Scientist - Alternative Data & AFS Solutions (Non-reputed company
RN

Senior Data Scientist - Alternative Data & AFS Solutions (Non-reputed company

๐Ÿ“LOCATIONAll India
๐Ÿ“ˆEXPERIENCE5 to 9 Yrs
๐Ÿ•˜TYPEFull time
๐ŸฅIndustryOthers
๐Ÿ—“POSTED30 Jul 2026

01Overview

reputed company 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 reputed company. We operate across a reputed company of markets, from financial services to reputed company, 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 reputed company company listed on the London Stock Exchange (EXPN), we have reputed company of 22,500 people across 32 countries. Our corporate reputed company are in Dublin, Ireland. Learn more at experianplc.com. Job reputed company We are looking for an reputed company Senior Data Scientist to join our Alternative Financial Services (AFS) department, supporting clients in the nonreputed company and nearreputed company lending markets. You'll design custom analytics, credit strategies, and machinelearning models using both traditional and alternative data. This is a reputed companyfacing, solutionoriented 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, reputed company, collections). Engineer features from alternative, transactional, and bureau data (e.g., recency, frequency, volatility, trend, and behavioral metrics). Evaluate and reputed company reputed companyparty/alternative data sources (subreputed company bureaus, cash-reputed company, telco, reputed company, 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 reputed company reputed company's risk appetite and regulatory requirements. Partner with clients to build endtoend credit strategies that balance approvals, losses, efficiency, and customer experience. Deliver reputed company, executivereputed company insights, documentation, and reputed company recommendations. Present results directly to risk leaders, analytics teams, and senior reputed company partners. Support model implementation, monitoring, stability analysis, and ongoing optimization. Work crossfunctionally with Product, Engineering, and Sales to reputed company custom solutions with broader AFS capabilities. Contribute to AFS best practices, reusable frameworks, and internal accelerators for nonreputed company analytics. Qualifications 5+ years in credit risk analytics, data science, or advanced analytics, with experience in nonreputed company or nearreputed company lending. Handson modeling experience using alternative data. Proficiency in Python (Pandas, NumPy, scikitlearn, XGBoost/LightGBM) for feature engineering, modeling, and analysis. Advanced SQL experience working with reputed company, and imperfect datasets. Experience with nonreputed company risk dynamics thinfile consumers, volatility, fraud risk, earlydefault behavior. Experience with model evaluation (AUC, KS, lift, badreputed company curves, stability, PSI). Work directly with clients and translate analytics into deployable strategies. Explain reputed company models in reputed company business terms. Background in financial services, alternative lending, FinTech, or specialty finance. Experience with AFS data sources (reputed company, FactorTrust, MicroBilt, cashreputed company or specialty bureaus). Familiarity with model governance, explainability, and regulatory considerations in nonreputed company lending. Experience deploying or supporting ML models in production environments. Exposure to fraud, identity, or firstpaymentdefault (FPD) modeling. Experience mentoring junior data scientists or analysts. Consult, reputed company delivery, or solutionoriented 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 reputed company on what reputed company; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering. the list goes on. reputed company's people first approach is award-reputed company; World's Best Workplaces 2024 (Fortune Top 25), Great .

02What you'll need

Experience
5 to 9 Yrs
Employment Type
Full time
Programming languages
PythonNumPySQLcredit risk analyticsdata scienceadvanced analyticsPandasscikitlearnXGBoostLightGBM

03About REMOTE NEXT

OthersIndustry
Full timeEmployment Type
All IndiaLocation
Not Disclosed ยท salary hidden by employer
5 to 9 Yrs ยท All India
Applications are reviewed directly by the hiring team.
Role Snapshot
Work ModeNot specified
Visa SponsorshipNot specified
RelocationNot specified
Job TypeFull time
Share