Senior Machine Learning Scientist

Job title: Senior Machine Learning Scientist

Location: Flexible

Role overview

Markerstudy Group have a very exciting opportunity for a Senior Machine Learning Scientist to support the delivery and deployment of Insurance Claims and Operations use cases.

You will have the technical support of an established machine learning function, to then create fully automated machine learning pipelines.

You will be supported by an Operations Insight function that have vast experience in the delivery, evaluation, and performance tracking of machine learning models.

The role will be working in an exciting, diverse and changeable environment, key stakeholders will be across Broker Services, Customer & Third Party Claims, Counter Fraud and Continuous Improvement.

Responsibilities:

Adhering to best practice, covering all aspects of machine learning, ensuring policies and procedures are adhered to 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 based machine learning environment Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipelines using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute to creating a culture of coding and data excellence Mentor and coach, a small, specialized team of junior machine learning specialists and insight analysts

Key Skills and Experience:

Experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, Clustering, Isolation Forest, SVMs, NLP Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Experience in source-control software, e.g., GitHub Ability to demonstrate that bias and ethics have been considered throughout the model build and deployment Ability to track model performance including degradation and provide a clear and concise view on explainability Proficient at communicating results in a concise manner both verbally and written

Behaviours:

A high level of professional/academic excellence, educated to at least a master’s level in a STEM-based or DS / ML / AI / or mathematical discipline Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes