Data Scientist I: ML-Driven Risk & Revenue Insights

Lendistry; Dallas (TX); On-site; USD 86,000 - 108,000; Full time

Benefits offered by this job

Medical, Dental & Vision

Paid Time Off

Birthday Day Off

401(k) Match

Life Insurance

Disability Insurance

Pet Insurance

EAP

Professional Development

Job summary

Lendistry, based in Dallas, TX, is seeking a Data Scientist I to support the management and implementation of new strategies on our decision‑making platform. You will shape business strategy and product decisions through data‑driven insights, impacting risk, product and revenue strategy.

Success relies on SQL/Python or R, statistics, and ML techniques, with some travel. This is an exciting opportunity to directly influence lending outcomes and financial performance at Lendistry.

Qualifications

• Bachelor’s degree in a quantitative field; MS/PhD preferred.
• 3+ years of hands‑on experience in business analysis, customer segmentation, and/or predictive modelling.
• Proficiency in Python, SQL, and one or more additional scripting or programming languages.
• Solid understanding of machine learning and statistical modelling techniques.
• Experience implementing credit strategies within a decision engine platform (Provenir, GDS‑Link, Zoot, or similar).
• Strong written and verbal communication skills; able to present findings clearly.

Responsibilities

• Implement, optimize, and monitor risk, fraud, line assignment, and pricing strategies within the decision engine across all lending channels.
• Aggregate, structure, and analyze large-scale datasets using big data technologies to support credit risk modelling, fraud detection, and loss mitigation strategies.
• Develop and apply advanced statistical models and machine learning techniques to improve decision accuracy and risk management outcomes.
• Design scalable pipelines that transform raw, unstructured data into clean features for predictive modelling.
• Mine internal and external datasets to surface actionable insights into customer behavior, usage patterns, and risk indicators.
• Own analytics projects end-to-end from tool customization to building new analytical solutions while maintaining data integrity and pipeline reliability.
• Build and maintain tracking, monitoring, and reporting frameworks to measure the performance and impact of models, rules, and risk initiatives.
• Research and develop new methodologies and techniques to continuously improve the effectiveness of credit and fraud risk strategies.
• Partner with engineering, product, and business teams to align data science solutions with organisational goals and deliver measurable impact.

Skills

Python

SQL

ML techniques

Statistics

Data analysis

Communication

Problem solving

Education

Bachelor’s degree in quantitative field

MS/PhD preferred

Tools

Provenir

GDS-Link

Zoot

Job description

Lendistry, based in Dallas, TX, is seeking a Data Scientist I to support the management and implementation of new strategies on our decision‑making platform. You will shape business strategy and product decisions through data‑driven insights, impacting risk, product and revenue strategy.

Success relies on SQL/Python or R, statistics, and ML techniques, with some travel. This is an exciting opportunity to directly influence lending outcomes and financial performance at Lendistry.