Senior Data Scientist

Senior Data Scientist Salary: $120,000 - $134,000 + Bonus + Equity Location: Remote, United States Industry: Financial Services | Machine Learning | Data Science The Company A growing financial services organization is seeking a Senior Data Scientist to join its advanced analytics team. They are investing heavily in machine learning and data-driven decision-making, providing an opportunity to work on high-impact predictive modeling challenges within a collaborative and modern technical environment. Data science plays a central role in business strategy, innovation, and growth across the organization. The Role As a Senior Data Scientist, you will build, deploy, and optimise machine learning models that support key business decisions. You will partner with stakeholders across analytics, risk, and product functions to develop scalable solutions and drive measurable business outcomes. Key responsibilities include: 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 Your Skills & Experience 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 Experience with workflow orchestration, MLOps, or model deployment frameworks is beneficial Excellent communication skills with the ability to present technical concepts clearly Experience within financial services, risk analytics, or other regulated environments is advantageous Degree in a quantitative discipline or equivalent analytical experience What They Offer Base salary of $120,000 - $134,000 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 How to Apply Interested candidates should apply via LinkedIn Easy Apply. Due to the volume of applications, only candidates whose experience closely aligns with the requirements of the position will be contacted. #DataScience #MachineLearning #Python #PredictiveAnalytics #MLOps #FinancialServices #RiskAnalytics #RemoteJobs #DataScientist #Harnham