Machine Learning Expert

3 weeks ago


Manchester, United Kingdom Markerstudy Group Full time

Role Overview

Markerstudy Group is seeking a Senior Machine Learning Scientist to support the delivery and deployment of Insurance Claims and Operations use cases.

As part of our established machine learning function, you will create fully automated machine learning pipelines, leveraging the technical support of Operations Insight.

Your work will be integral to the team, collaborating with stakeholders across Broker Services, Customer & Third Party Claims, Counter Fraud, and Continuous Improvement.

Key Responsibilities:

  • Adhere to best practices in machine learning, ensuring policies and procedures are followed.
  • Create robust, high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standard.
  • Deploy and maintain machine learning methods in a DevOps / MLOps environment.
  • Tune machine learning methods for optimal performance.
  • Deploy and maintain machine learning methods in our machine learning pipelines.
  • Contribute to a culture of coding and data excellence.
  • Mentor and coach junior machine learning specialists and insight analysts.

Key Skills and Experience:

  • Tuning and deploying machine learning methods.
  • Predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, Clustering, Isolation Forest, SVMs, and NLP.
  • DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks.
  • Production-grade coding and SOLID programming principles, including TDD approaches.
  • Programming languages such as Python, PySpark, R, SAS, and SQL.
  • Source-control software like GitHub.
  • Ability to consider bias and ethics throughout model build and deployment.
  • Model performance tracking, degradation, and explainability.
  • Effective communication of results verbally and in writing.

Behaviours:

  • Professional and academic excellence, with a master's level education in a STEM-based discipline.
  • Collaborative team player with a logical thinking approach.
  • Passionate about innovation and process improvement.


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