Machine Learning Consultant

Overview

In this role you will lead predictive analytics initiatives for a major financial software client, shaping data strategy and delivering production ML solutions. You’ll work with cross-functional business SMEs to translate ambiguous needs into actionable data products. Expect to tackle credit risk, fraud, collections and marketing analytics, and contribute to R&D projects in the digital space. This is a high-velocity, production-focused consultancy role at a tech-forward fintech environment with a strong emphasis on impact and ownership.

Responsibilities

• Implement ML-based solutions for corporate clients and ensure production delivery
• Define data architecture and data management requirements with business stakeholders
• Extract and model data from diverse and unclean sources for analytics
• Present data-centric solutions and design robust architectures
• Consult on data strategy, KPIs, and reporting outputs
• Lead or contribute to R&D projects in the digital space

Key requirements

• >2 years professional experience in data science / ML consultancy
• Client-facing consultancy experience and ability to clarify ambiguous requirements
• Strong foundation in probability and statistics
• Experience with ML techniques (linear/logistic regression, boosting, kNN)
• Python proficiency
• Experience with ML frameworks (TensorFlow, scikit-learn, Theano, Caffe, Torch)
• Delivery of production ML solutions, not just analyses

• client-facing communication
• ability to shape ambiguous requirements
• stakeholder management
• machine learning
• probability and statistics
• Python

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