Top Fintech Data Science Jobs

As an AI Data Strategist, you will use AI and ML to analyze customer feedback, providing insights for improving customer experience and retention. You'll collaborate with teams to bridge unstructured data with structured analyses, creating actionable strategies that drive business outcomes.

The Data Scientist will develop predictive models, conduct exploratory analysis, collaborate with teams, build data pipelines, and create visualizations to drive decision-making.

The Principal Data Scientist will optimize marketing investments through advanced decision support systems, collaborating with multiple business stakeholders, and leading the development of analytics frameworks.

Full-time 10-week data science internship working with large datasets to perform SQL analyses, evaluate model accuracy, and build a custom ChatGPT proof-of-concept for mapping hospital accounts. Collaborate with data scientists and stakeholders, present results to leadership, and support internal and customer-facing projects.

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

As a Data Scientist, you will validate credit risk models, prepare reports, assist analysts, monitor performance, and support automated model training processes. Strong programming and statistical analysis skills are essential.

As an AI Data Scientist at Deutsche Bank, you will utilize LLM approaches for data analysis, develop embedding pipelines, and automate functional decomposition for complex business data analysis.

Lead development of data science models, mentor junior scientists, ensure data quality, and collaborate with stakeholders on requirements.

The Data Scientist will develop analytics solutions, analyze data, and collaborate with stakeholders to deliver insights for business improvement. Responsibilities include owning analytics projects and mentoring junior data scientists.

The role involves leveraging data science and AI to generate business insights, develop predictive models, and mentor team members. Responsibilities include project management, deploying ML pipelines, and enhancing client solutions.