Top Lead Data Scientist Jobs

The Lead Data Scientist will manage projects on credit risk and business intelligence analytics, leveraging statistical models to provide insights for financial services clients. Responsibilities include developing solutions, leading client engagements, and mentoring junior staff.

Lead Data Scientist will design, develop, and implement ML and statistical models, perform data discovery and ETL, guide junior team members, present technical deliverables, and drive Advanced Analytics and GenAI initiatives across multiple projects.

Lead teams to evaluate AI and machine learning algorithms, define performance goals, and coordinate with vendors while transitioning algorithms to software.

Lead Data Scientist responsible for developing and implementing AI and ML solutions to support marketing and business engagement. The role involves technical leadership, model development, data analysis, stakeholder collaboration, and ensuring compliance with governance standards.

The role involves leading analytic client engagements in financial services, developing predictive risk management solutions, and mentoring junior colleagues while managing multiple projects and delivering insights.

Lead Data Scientist responsible for guiding teams in data analysis, algorithm development, and AI application to address national security challenges. Engage stakeholders and oversee algorithm testing and evaluation.

Lead development and deployment of AI/ML, GenAI, and agentic solutions across the model lifecycle. Perform data exploration, feature engineering, model training, validation, deployment, and monitoring using cloud and modern data platforms. Implement LLM/RAG and safety guardrails, build prototypes, collaborate with cross-functional teams, follow MLOps/CI/CD and governance, and support business-aligned outcomes. Limited travel (<10%).

Lead Data Scientist partners with business leaders to identify opportunities, design, develop, and deploy advanced analytics and ML solutions. Responsibilities include data preparation, modeling, feature engineering, delivering insights and visualizations, establishing standards, and directing associate data scientists, contractors, and consultants to produce measurable business value.

Lead Data Scientist responsible for managing projects in data engineering, model design, and infrastructure deployment while collaborating with clients to develop data-driven solutions.

Lead Data Scientist responsible for analyzing large datasets, building data models, creating analytics features, and improving data quality for audit insights.

Designs and develops AI tools and machine-learning models, conducts research and testing, and integrates scalable solutions while translating complex data for executive stakeholders.

The Lead Data Scientist will oversee AI projects, mentor engineers, and develop systems for knowledge retrieval and analysis in defense. Responsibilities include guiding technical strategy, collaborating across teams, and championing AI innovations.

The Lead Data Scientist will lead AI solution development for National Security by driving projects, mentoring teams, and enhancing systems with advanced simulation and optimization techniques.

The Lead Data Scientist will design and implement analytical solutions, manage projects, mentor teams, and translate business needs into data-driven insights.

Lead the development of AI solutions and systems to improve healthcare outcomes, managing data science strategies and collaborating with engineering teams.

The Lead Data Scientist will develop AI solutions, manage data pipelines, design machine learning models, and collaborate with cross-functional teams to innovate and implement advanced technologies.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

Lead Data Scientist role focusing on refining operations. Responsibilities include developing models for optimization and predictive maintenance, collaborating with engineers, and communicating insights to stakeholders.

Lead a team of data scientists to develop and deploy AI solutions driving revenue growth and customer engagement in commercial contexts.

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

Lead Data Scientist responsible for innovative data-driven insights, collaborating with executives, mentoring staff, and leading complex market assessments in trucking insurance.

Lead design and implementation of safety and alignment architectures for agentic AI systems; develop monitoring, reward modeling, and human-in-the-loop evaluation; partner with cross-functional teams for responsible deployment; publish research; identify and mitigate failure modes and set safety milestones for production readiness.

As a Lead Data Scientist, you'll leverage advanced analytical methods to solve complex business problems, mentor junior team members, and interact with clients while developing innovative solutions through data analysis and modeling.

Lead Data Scientist responsible for creating ML-driven risk assessments and AI workflows within a SaaS security platform, ensuring effective decision-making and system reliability.

As a Lead Data Scientist at Oliver Wyman, you will manage analytics projects, develop models, and engage with global clients to solve business challenges using advanced data science methodologies.