Senior Machine Learning Scientist

Markerstudy Group; Manchester; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading insurance firm is seeking a Senior Machine Learning Scientist to develop automated ML pipelines and mentor a team. The role involves deploying ML methods in a DevOps environment while adhering to best practices. Candidates should have experience in tuning machine learning methods, working with various predictive modelling techniques, and strong coding skills. A master’s degree in a relevant field is essential. The environment is dynamic and diverse, providing an excellent opportunity for innovation.

Qualifications

• Experience in tuning and deploying machine learning methods.
• Experience with various predictive modelling techniques.
• Familiarity with DevOps and MLOps technology stacks.

Responsibilities

• Create robust high-quality code using test-driven development (TDD).
• Deploy and maintain machine learning methods in a DevOps environment.
• Mentor and coach a team of junior machine learning specialists.

Skills

Experience in tuning and deploying machine learning methods

Predictive modelling techniques (Logistic Regression, GBMs, etc.)

DevOps and Azure ML

Production grade coding and SOLID principles

Programming languages (Python, PySpark, etc.)

Source-control software (GitHub)

Communicating results effectively

Education

Master's level degree in a STEM-based DS / ML / AI / or mathematical discipline

Job description

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 DS / ML / AI / or mathematical discipline
• Collaborative and team player
• Logical thinker with a professional and positive attitude
• Passion to innovate and improve processes