Top Hybrid Data Science Jobs

As an Applied AI/ML Data Scientist, you will innovate investment banking through AI and data analytics, develop machine learning systems, analyze complex datasets, and present insights to stakeholders. You'll collaborate with a diverse team to push the boundaries of financial technology.

As a Data Scientist in the Asset Wealth Risk Analytics team, you'll develop and maintain risk measurement methodologies, leverage data science and machine learning to enhance analytics processes, and improve the AWM Risk System. You will work with stakeholders to identify opportunities for risk analytics and be involved in the analysis of large data sets while contributing to risk methodology research.

The Analytics Solutions Manager will lead AI project management, collaborating with engineers and data scientists to enhance operational processes and manage project budgets. Responsibilities include planning, scheduling, overseeing project execution, mentoring junior staff, and ensuring alignment with stakeholders' goals.

The Staff Scientist will lead AI/ML solutions development, collaborating with stakeholders and teams to enhance customer experience and profitability. Responsibilities include mentoring, data modeling, problem framing, and ensuring scalable, high-quality analytical products. The role requires clear communication of insights and recommendations to drive data-driven decisions.

The Sr. Scientist in the Data Management and Analytics Group will collaborate on a multi-disciplinary team to implement data-driven solutions, develop predictive models, analyze diverse information, and enhance decision-making through advanced analytics strategies.

The Sr. Scientist will drive data-driven decision-making by applying Data Science techniques, building predictive models, analyzing large datasets, monitoring model effectiveness, and collaborating with cross-functional teams to solve complex business problems.

The AI & GenAI Data Scientist will focus on developing predictive models and conducting statistical analysis to transform data into actionable insights for clients. The role includes collaborating with client teams to solve business problems using AI techniques and creating data visualisations.

As an AI & GenAI Data Scientist, you will design and develop data solutions, focusing on predictive modeling, statistical analysis, and data visualization. You'll leverage AI and machine learning techniques to extract insights from large datasets, collaborate with clients to address their business challenges, and contribute to the development of AI solutions.

The AI & GenAI Data Scientist will leverage machine learning and advanced analytics to transform large datasets into actionable insights. Responsibilities include developing predictive models, conducting statistical analysis, and creating data visualisations, while collaborating with clients to solve complex business problems.

As a Senior Associate Data Scientist, you will collaborate with a team to develop tools for credit risk management, leveraging machine learning and big data to extract insights and improve decision-making. You will build and implement machine learning models, while translating complex data into business goals.

As a Manager of Data Science at Capital One, you will leverage advanced computing and machine learning technologies to extract insights from large datasets. You will work with cross-functional teams to build and implement data-driven solutions, manage machine learning model development, and communicate complex concepts to stakeholders.

As a Principal Data Scientist in Consumer Identity Machine Learning, you'll explore customer behavior patterns, develop real-time machine learning models, and ensure data accuracy to enhance customer experiences. You'll lead all phases of model development in collaboration with engineering and business teams, focusing on data-driven insights over vast datasets.

The Data Scientist II will build and scale econometric models for Disney Streaming Services, quantify marketing ROI, support strategic analysis, and automate long-term marketing mix modeling. The role requires substantial quantitative skills and the ability to mentor analysts while providing insights to drive marketing efficiency.

The Senior Business Intelligence Analyst will develop datasets, dashboards, and reports, manage risk issues, conduct user acceptance testing, and resolve discrepancies in data. They will also communicate technical results to managers and utilize programming skills for analysis and machine learning algorithms.

As a Data Analytics Senior Consultant at CNA, you will lead data analytics initiatives to optimize underwriting strategies. Responsibilities include developing automated scorecards, conducting scenario analyses, providing insights for decision-making, and collaborating with senior leadership and cross-functional teams to drive business outcomes.

As a Data Analytics Senior Consultant at CNA, you will lead projects to create automated scorecards and scenario analysis tools, provide business insights based on data analysis, collaborate with underwriting leadership, and develop analytics solutions that enhance business strategies across commercial insurance products.

As a Data Analytics Senior Consultant, you will lead projects to create automated scorecards and scenario analysis tools for underwriting strategies in a commercial insurance context. The role requires strong analytical and technical skills to derive insights from data analytics solutions that support decision-making across the organization, collaborating closely with senior leadership and other teams.