Lead Data Scientist / Machine Learning Engineer – Consultancy/Academic Partnership

Category: AI & Machine Learning

Job Description

• Role Overview: Act as a strategic academic consultant to develop and refine machine learning models for real-time credit scoring and risk assessment. This role is project-based or part-time and will work closely with the in-house technical team to validate algorithms and optimize data strategies.

Responsibilities

• Design and prototype advanced ML algorithms tailored to both traditional financial and alternative datasets.
• Develop proof-of-concept models and conduct rigorous model validation.
• Collaborate with data engineers to support data ingestion and normalization processes.
• Provide regular research updates and strategic recommendations based on the latest academic findings in AI/ML.

Requirements

• An advanced degree (PhD preferred) in Data Science, Computer Science, Statistics, or a related field.
• Demonstrated research experience in machine learning, especially within fintech or financial services.

Preferred Qualifications (Nice to Have)

• Strong publication record or contributions to notable research projects is a plus.

Engagement Details

• Project-based or part-time consultancy with defined deliverables and milestones.

Compensation Range

• Competitive consultancy rates.

About the Company

• As an AI-first company, we are building a world-class team that thrives on technology, innovation, and data-driven decision-making.
• We believe that the best talent deserves the best challenges—opportunities that will push the boundaries of what’s possible in AI applied to financial intelligence, risk assessment, and marketplace matching.