Top Data & Analytics Jobs

Drive measurement, experimentation, and analytical frameworks across product and engineering. Build scalable datasets, metrics, pipelines, and dashboards; analyze ML and LLM performance; surface operational risks and reliability insights; and influence product and infrastructure strategy through clear, data-driven recommendations.

Research and propose solutions to science problems, collaborate with the engineering team on integrating solutions, and conduct internal science reviews.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

Lead a team of data scientists to enhance infrastructure through data science, focusing on capacity planning, performance optimization, and customer experience.

Lead a team of data scientists to optimize Databricks infrastructure using data science for capacity planning, reliability, and performance improvements.

The Senior Data Analyst/Strategist will drive data strategy and governance initiatives for the Army, ensuring alignment with objectives. Responsibilities include advising senior leaders, developing AI/ML strategies, analyzing complex data, and maintaining policy compliance.

As an Analytic Methodologist, you will lead analytics projects, develop and evaluate methodologies, and support the Department of Defense with your expertise in data science, knowledge graphs, and ontologies.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

The Data Sharing Manager facilitates cross-brand data sharing, managing use cases, stakeholder communication, and process adherence to drive organizational goals.

As a Quantitative Research Analyst, you will develop models, conduct complex data analysis, and work with stakeholders to optimize investment strategies.

Support motor retail pricing through data analysis, model development, and optimisation. Work across Risk Pricing, Insights, Trading and Projects to implement pricing features, run optimisation in Radar, develop ML-driven insights, monitor KPIs, and coordinate cross-team pricing initiatives.

The Director of Statistics leads statistical initiatives in phase 3b/4 and RWE studies, provides expertise in HTA and regulatory compliance, and collaborates with cross-functional teams. Responsibilities include statistical analysis plans, Bayesian methodologies, and mentoring junior staff.

As a Senior Data Scientist, you will apply machine learning and AI algorithms, conduct feature engineering, and collaborate with teams to optimize models and provide data insights.

As a Data Scientist, you'll leverage machine learning and AI to analyze data, build models, and develop intelligent services, collaborating with various stakeholders.

As a Business Operations Associate, you will drive data-driven decisions across key business initiatives, lead A/B testing, and optimize operations.

The Executive Director will oversee data science and data management strategies, leading capabilities across commercial insights and analytics while collaborating across multiple organizational functions.

Perform model audits and quantitative analyses, evaluate risk and effectiveness of models, and communicate findings to stakeholders.

This role focuses on sourcing, due diligence, and portfolio support in the AI investment ecosystem. It requires strong networking and analytical skills, combined with a proactive entrepreneurial spirit.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

Design and develop innovative deep learning methods for biomolecular design, collaborating with biology teams, prototyping new algorithms, and presenting results.

Design, build, and deploy end-to-end data science solutions for pricing, underwriting, claims, and operations. Perform analyses on structured and unstructured data, develop and monitor ML models, create dashboards and visualizations, implement data pipelines, and collaborate cross-functionally to prioritize analytics initiatives and communicate results to technical and non-technical stakeholders.

Lead marketing data and AI strategy: architect the single source of truth, design scalable data models, create measurement and attribution frameworks, prioritize and productionize predictive AI use cases, and embed responsible AI governance across marketing.

Lead a team in delivering data-driven insights for underwriting and risk selection, managing projects and fostering relationships across business units.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

The Data Scientist will analyze, design, test, and implement applications for product improvement, utilizing advanced data analytics and machine learning techniques, while supporting plant projects and mentoring team members.