Top Fintech Data Science Jobs

The Senior Data Scientist will apply ML/AI concepts to solve business problems, develop predictive models, present insights, and collaborate with partners.

The role involves leading data and analytics initiatives in MetLife's U.S. business, focusing on strategic engagement, data science solutions, and operational excellence in sales and marketing analytics.

As a Senior Data Scientist, you will develop models for fraud prevention, collaborate with engineers, and analyze data to enhance client services.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The Head of Data Science will manage and grow a team of data scientists, mentor team members in modeling, and collaborate with product and engineering teams for data-driven solutions.

As a Senior Data Scientist, you will develop predictive models, conduct EDA, collaborate cross-functionally, and drive data-driven decisions.

As a Senior Data Scientist, you will analyze healthcare data, develop models, collaborate on solutions, and communicate findings to stakeholders.

The Sr. Analyst, Quantitative Modeling develops and enhances quantitative models for credit, climate, and risk assessments using advanced analytical techniques. Responsibilities include model development, technical support, and thought leadership activities.

The Executive Director of Data Science will oversee the SDLC processes, mentor a skilled team, drive a global data science vision, and ensure high-quality AI solutions are implemented effectively.

Lead and implement advanced data science models and algorithms, collaborate with stakeholders, and mentor junior scientists while ensuring data quality.

The Sr Data Scientist will develop advanced models to prevent fraud, guide junior team members, and collaborate on risk strategies for PayPal Credit products.

The Staff Data Scientist will lead projects to develop advanced data models, analyze datasets, ensure data quality, and mentor junior scientists, aligning efforts with business goals.

The Principal Data Engineer creates data visualizations, performs data analysis using big data tools, manages data governance projects, develops data solutions, and collaborates with business stakeholders to address data challenges and ensure quality data pipelines, utilizing AWS and various big data technologies.

The Director of Data Science leads the Graph Technology team to develop innovative investment solutions using AI and graph techniques while collaborating with quants and portfolio managers.