Senior Machine Learning Scientist

TN United Kingdom; Manchester; Remote; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Senior Machine Learning Scientist to lead the development and deployment of cutting-edge machine learning solutions for insurance claims. In this dynamic role, you will collaborate with a talented team to create automated machine learning pipelines, ensuring high-quality performance and adherence to best practices. Your expertise in predictive modeling, MLOps, and programming will be crucial in optimizing models and mentoring junior specialists. Join a forward-thinking organization that values innovation and process improvement, and make a significant impact on the future of insurance operations.

Qualifications

• Experience in tuning and deploying machine learning models.
• Knowledge of various predictive modeling techniques.
• Understanding of bias and ethics in model deployment.

Responsibilities

• Develop and maintain machine learning models in a DevOps environment.
• Optimize models for performance and adhere to best practices.
• Mentor junior team members and contribute to coding excellence.

Skills

Machine Learning Model Deployment

Predictive Modeling Techniques

MLOps

Production-grade Coding

Python Programming

Communication Skills

Education

Master's Degree in STEM, DS/ML/AI or Mathematics

Tools

Azure ML

AWS

Databricks

Google Cloud

GitHub

Job description

Job title: Senior Machine Learning Scientist

Location: Flexible

Role overview:

Markerstudy Group has an 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 team to create fully automated machine learning pipelines.

You will be supported by an Operations Insight team experienced in the delivery, evaluation, and performance tracking of machine learning models.

The environment is dynamic and diverse, with key stakeholders across Broker Services, Customer & Third Party Claims, Counter Fraud, and Continuous Improvement.

Responsibilities:

1. Adhere to best practices and policies across all aspects of machine learning.
2. Develop robust, high-quality code using test-driven development (TDD) and adhere to the SOLID principles.
3. Deploy and maintain machine learning models in a DevOps/MLOps environment.
4. Optimize machine learning models for performance.
5. Contribute to a culture of coding and data excellence.
6. Mentor and coach a small team of junior machine learning specialists and insight analysts.

Key Skills and Experience:

1. Experience in tuning and deploying machine learning models.
2. Knowledge of predictive modeling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Networks, Clustering, Isolation Forest, SVMs, NLP.
3. Experience with MLOps and cloud platforms like Azure ML, AWS, Databricks, Google Cloud.
4. Proficiency in production-grade coding, SOLID principles, and TDD.
5. Programming skills in Python, PySpark, R, SAS, SQL.
6. Experience with source control tools like GitHub.
7. Understanding of bias and ethics considerations in model deployment.
8. Ability to monitor model performance and explainability.
9. Strong communication skills, both verbal and written.

Behaviours:

1. High level of professional and academic excellence, with at least a master's degree in a STEM, DS/ML/AI, or mathematical discipline.
2. Collaborative team player.
3. Logical thinker with a positive attitude.
4. Passionate about innovation and process improvement.