Note: The job is a remote job and is open to candidates in USA. An unnamed financial services organization is hiring a Senior Data Scientist for its advanced analytics team. The role builds, deploys, and optimizes machine learning models to support business decisions, partnering with analytics, risk, and product stakeholders to deliver scalable solutions and measurable outcomes.

Responsibilities

• Designing, developing, and deploying supervised machine learning models in production environments
• Translating complex business questions into data science and predictive modeling solutions
• Monitoring model performance and identifying opportunities for optimisation and improvement
• Developing and maintaining scalable data science workflows and model training pipelines
• Applying software engineering best practices, including code reviews, testing, and version control
• Evaluating new data sources and modeling approaches to improve predictive performance
• Communicating insights, model performance, and recommendations to both technical and non-technical stakeholders
• Contributing to machine learning best practices and continuous improvement initiatives

Skills

• Strong commercial experience building and deploying machine learning models
• Advanced Python programming skills and experience working with modern data science libraries
• Experience with supervised learning techniques and predictive analytics
• Strong understanding of model validation, performance monitoring, and lifecycle management
• Experience developing reproducible and production-ready data science solutions
• Familiarity with cloud environments, databases, and data engineering concepts
• Excellent communication skills with the ability to present technical concepts clearly
• Degree in a quantitative discipline or equivalent analytical experience
• Experience with workflow orchestration, MLOps, or model deployment frameworks is beneficial
• Experience within financial services, risk analytics, or other regulated environments is advantageous

Benefits

• Annual bonus opportunity
• Equity participation programme
• Comprehensive healthcare benefits
• Retirement savings programme with employer contribution
• Generous paid time off and parental leave
• Wellness allowance
• Flexible spending benefits
• Fully remote working model
• Opportunity to work on business-critical machine learning initiatives
• Clear career progression within a growing data science function

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