Talantix.io
Experian•06.03.26
AI SCORE 8.5

Senior AI Data Scientist - Consumer Lending

$133K–$240K/year
RemoteFinTech
Python•R•Machine Learning•Statistical Analysis•Big Data•Hadoop•Spark

About the Role

Experian is hiring a full-time Senior AI Data Scientist in the Consumer Lending sector, working remotely from the United States. As a Senior AI Data Scientist, you will play a crucial role in leveraging artificial intelligence and machine learning techniques to enhance our consumer lending solutions. This position offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects that impact millions of consumers.

What You'll Do

  • Develop and implement advanced machine learning models to analyze consumer lending data.
  • Collaborate with cross-functional teams to identify business needs and translate them into analytical solutions.
  • Utilize big data technologies to extract insights and drive data-driven decision-making.
  • Conduct experiments and A/B testing to validate model effectiveness and improve performance.
  • Present findings and recommendations to stakeholders, ensuring clarity and actionable insights.

Requirements

  • 5+ years of experience as a Data Scientist, specifically in AI and machine learning.
  • Proficiency in programming languages such as Python and R.
  • Strong understanding of statistical analysis and modeling techniques.
  • Experience with big data technologies like Hadoop, Spark, or similar.
  • Excellent communication skills to convey complex data insights to non-technical stakeholders.

Nice to Have

  • Experience in the consumer lending or financial services industry.
  • Familiarity with cloud platforms such as AWS or Azure.
  • Knowledge of data visualization tools like Tableau or Power BI.

What We Offer

  • Competitive salary range of $133,109 - $239,596 per year.
  • Comprehensive health benefits and wellness programs.
  • Flexible work hours and remote work options.
  • Opportunities for professional development and continuous learning.
  • A collaborative and innovative work environment.
Why This Job8.5 of 10

This Senior AI Data Scientist role at Experian offers a competitive salary, remote work flexibility, and the opportunity to impact consumer lending through innovative AI solutions.

Salary Range
Required
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Optional
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Bonus
0/1

Who Will Succeed Here

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Proficient in Python and R, with hands-on experience in libraries such as TensorFlow and Scikit-learn for developing machine learning models tailored for consumer lending analytics.

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Demonstrates a strong analytical mindset, capable of utilizing statistical analysis and big data technologies like Hadoop and Spark to derive actionable insights from complex datasets.

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Possesses a proactive approach to remote work, with excellent self-management skills to independently drive projects while effectively collaborating with cross-functional teams across different time zones.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Introduction to Big Data with Spark and Hadoopcourse

Career Path

Senior AI Data Scientist - Consumer Lending(Now)→Lead Data Scientist(1-2 years)→Director of Data Science(3-5 years)

Market Overview

Market Size 2024
$38B
Annual Growth
22.5%
AI Adoption
70%
Investment in AI
+300%
Labour Demand for Data Scientists
+30%
Avg Salary for Senior AI Data Scientists
$140K

Skills & Requirements

Required
PythonRMachine Learning
Growing in Demand
Deep LearningNatural Language Processing (NLP)Data Visualization (e.g., Tableau, Power BI)
Declining
SASMATLAB

Domain Trends

Increased Automation in Consumer Lending
AI-driven automation in consumer lending has increased by 50% since 2022, streamlining approval processes and enhancing customer experience.
Focus on Ethical AI
76% of organizations in the consumer lending sector are implementing frameworks for ethical AI, emphasizing transparency and fairness in decision-making.
Rise of Real-time Data Analytics
Real-time analytics in consumer lending is projected to grow by 40% in the next two years, driven by the need for immediate insights and decision-making.

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