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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Finance AI & Analytics - **Company:** REMOTE HAND - **Location:** United States (Remote available) - **Salary:** $113,900.0 - $170,900.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Cloud Database, Query Languages, Python (Programming Language), Machine Learning, Monte Carlo Methods, SQL Databases, Apache Spark, Git, Pyspark, Information Technology, Data Analytics, Software Version Control, Databricks - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pelejlwhqo ## About the Role * PhD with 1-3 years of related experience, Master's degree with 3-6 years of experience, or Bachelor's degree with 5-8 years of experience, depending on level. * Strong foundation in statistical modeling, machine learning, and quantitative analysis. * At least 4 years of professional Python programming experience. * Proficiency in SQL or comparable data querying languages. * Experience with version control systems such as Git. * Familiarity with cloud-based data science and analytics platforms, including AWS, Azure, Databricks, Spark, or PySpark. * Ability to translate business challenges into analytical questions and develop practical data-driven solutions. * Strong collaboration and communication skills, with the ability to present insights to diverse audiences. Preferred Qualifications * Degree in a quantitative discipline such as engineering, mathematics, statistics, or computer science. * Experience with Monte Carlo simulations, time-series analysis, probabilistic modeling, or related techniques. * Demonstrated experience deploying analytical or machine learning models into production environments. * Experience presenting technical findings and recommendations to executive audiences. ## Description The Data Scientist - Finance AI & Analytics supports the Business Management function by developing and scaling analytical models that simulate complex business scenarios and reduce uncertainty around future outcomes. This role applies advanced statistical and machine learning techniques to enterprise-level challenges, translating business questions into analytical solutions that provide actionable insights and support strategic decision-making. Responsibilities * Develop statistical and machine learning models to quantify and reduce uncertainty across complex business scenarios. * Build analytical solutions that support forecasting, scenario analysis, and strategic decision-making. * Write clear, maintainable, and well-structured code to support collaboration, testing, and model deployment. * Provide technical guidance on data science methodologies, analytical approaches, and technology selection. * Translate complex business problems into well-defined analytical questions and actionable solutions. * Communicate analytical findings and recommendations to technical and non-technical stakeholders. * Mentor junior team members on data science methodologies, coding standards, and best practices. * Monitor emerging data science and AI trends and recommend innovative approaches that can enhance business value. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)