Talantix.io
Experian•09.03.26
AI SCORE 8.5

Senior AI Data Scientist - Consumer Lending

$133K–$240K/year
RemoteFinTech
Python•R•Machine Learning•Data Visualization•Statistical Analysis•Predictive Modeling

About the Role

Experian is hiring a full-time Senior AI Data Scientist for the Consumer Lending sector, working remotely from the United States. In this role, you will leverage your expertise in artificial intelligence and data science to drive innovative solutions that enhance consumer lending processes. As a Senior AI Data Scientist, you will work closely with cross-functional teams to analyze data, develop predictive models, and implement machine learning algorithms that improve decision-making and customer experiences.

What You'll Do

  • Develop and implement advanced machine learning models to optimize consumer lending strategies.
  • Collaborate with data engineers and product managers to ensure data quality and relevance.
  • Analyze large datasets to extract actionable insights and inform business decisions.
  • Present findings and recommendations to stakeholders, translating complex data into understandable insights.
  • Stay up-to-date with the latest AI and machine learning trends to continuously improve methodologies.

Requirements

  • 5+ years of experience as a Data Scientist, with a focus on AI and machine learning.
  • Proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of statistical analysis and predictive modeling.
  • Excellent communication skills to convey technical information to non-technical stakeholders.

Nice to Have

  • Experience in the consumer lending or financial services industry.
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of cloud platforms (e.g., AWS, Azure).

What We Offer

  • Competitive salary ranging from $133,109 to $239,596.
  • Flexible remote work environment.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and continuous learning.
  • Collaborative and innovative company culture.
Why This Job8.5 of 10

This Senior AI Data Scientist role at Experian offers a competitive salary and the opportunity to work remotely in the dynamic FinTech sector.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficiency in Python and R for data manipulation and statistical analysis, with hands-on experience in libraries such as Pandas, NumPy, and Scikit-learn to develop predictive models that enhance consumer lending processes.

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Ability to conduct complex data visualizations using tools like Tableau or Matplotlib, translating intricate data insights into actionable strategies for cross-functional teams in a remote environment.

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A strong analytical mindset with at least 5 years of experience in machine learning and statistical modeling, coupled with a proactive approach to problem-solving and a passion for leveraging AI to innovate in the financial services sector.

Learning Resources

→Python Data Science Handbookguide
→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Statistical Analysis with Rcourse

Career Path

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

Market Overview

Python Market Size 2024
$14.5B
Annual Growth of Python Ecosystem
22.5%
AI Adoption in Financial Services
75%
Investment in AI Solutions
+150%
Labour Demand for AI Data Scientists
+30%
Avg Salary for Senior AI Data Scientist
$130K

Skills & Requirements

Required
PythonRMachine Learning
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Apache Spark)
Declining
SASExcel for Data Analysis

Domain Trends

Increased Use of AI in Consumer Lending
Financial institutions are increasingly adopting AI and machine learning to improve lending decisions, with a reported 60% of banks using AI for risk assessment.
Rise of Predictive Analytics
Predictive modeling is becoming essential in consumer lending, with 70% of lenders utilizing predictive analytics to enhance customer targeting and loan approval processes.
Remote Work Adoption in Data Science
The trend towards remote work is solidifying, with 80% of data scientists preferring remote positions, leading to a more competitive job market.

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