Senior Data Scientist — Remote, Equity & 20% Bonus

Harnham; United States; Remote; USD 120,000 - 134,000; Full time

Benefits offered by this job

Equity participation

Fully remote working model

Annual bonus up to 20%

Job summary

Harnham is seeking a results-driven ML professional to develop, deploy, and maintain machine learning models in production. You will partner with risk, strategy and analytics stakeholders to solve complex business problems through data science and to translate requirements into deployable solutions.

You will monitor model performance, evaluate new data sources, apply software engineering best practices, and communicate insights to both technical and non-technical audiences.

Qualifications

• Strong commercial experience building and deploying end-to-end ML models.
• Expertise using Python for data science and predictive modelling.
• Experience monitoring, testing, validating, and improving models in production.
• Ability to translate business challenges into analytical solutions.
• Experience working in data-rich, commercially focused environments.
• Background in financial services, fintech, insurance, consulting, risk analytics, fraud analytics, actuarial analytics, customer analytics or related fields is highly beneficial.
• Experience with cloud platforms and modern ML tooling is advantageous.

Responsibilities

• Develop, deploy, and maintain machine learning models in a production environment.
• Partner with risk, strategy, and analytics stakeholders to solve complex business problems through data science.
• Monitor model performance and implement improvements to ensure long-term effectiveness.
• Evaluate new data sources, features, and modelling approaches to improve predictive accuracy.
• Apply software engineering best practices, including testing, version control, and code review.
• Communicate insights and recommendations to both technical and non-technical audiences.
• Contribute to the evolution of machine learning frameworks, tooling, and best practices.

Skills

Machine learning

Python

Production deployment

Model monitoring

Data analytics

Cloud platforms

Communication

Finance domain knowledge

Tools

Git

MLflow

Docker

Job description

Harnham is seeking a results-driven ML professional to develop, deploy, and maintain machine learning models in production. You will partner with risk, strategy and analytics stakeholders to solve complex business problems through data science and to translate requirements into deployable solutions.

You will monitor model performance, evaluate new data sources, apply software engineering best practices, and communicate insights to both technical and non-technical audiences.