7 of 7 Exploratory Analysis Jobs

development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle-from data collection and exploratory analysis to model/agent development, deployment, and monitoring. You will build foundational experience designing and implementing AI agents and cloud-based … development and maintenance of data driven agentic solutions, working under the guidance of senior team members across the full lifecycle-from data collection and exploratory analysis to model/agent development, deployment, and monitoring. You will build foundational experience designing and implementing AI agents and cloud-based ...

Engineering capabilities to support the Digital Screening programme. This role will play a key part in shaping a new digital screening service by leading exploratory analysis and supporting the development of high-quality dashboards and reporting products. You will work within a multidisciplinary Agile team, collaborating with Data … Engineers, Analysts, and User-Centred Design (UCD) professionals to deliver robust, data-driven insights and scalable data solutions. Key Responsibilities Lead exploratory data analysis (EDA) to inform dashboard design and reporting outputs Define data requirements and determine appropriate dashboard content Identify and mitigate data quality risks and ensure ...

engineering, production, and data systems, turning raw technical data into highly usable assets for engineers and production teams. Your core responsibilities will include: Data Analysis & Validation: Conducting correlation and exploratory analysis on manufacturing and test data, and presenting those findings directly to engineering teams. Pipeline & Schema Management … Strong proficiency in Python, including writing clear, well-documented, and reliable code. SQL & Databases: A good working knowledge of SQL and relational databases. Data Analysis Tools: Experience working with structured datasets and executing data transformations using libraries like Pandas and NumPy. Version Control: Practical experience using Git. Beneficial Requirements ...

production‐ready applications for internal teams and external clients. Identify and deliver automation opportunities, such as natural language interfaces over insurer datasets, AI‐assisted exploratory analysis, document understanding, and generation of structured analytical outputs. Apply rigorous AI evaluation and safety practices, including: Prompt and few‐shot experimentation Hallucination ...

real-world datasets. Support SDTM, ADaM and TFL activities, including development, validation and review of study and standard programs for clinical trial data conversion, analysis and reporting. Produce validated datasets, tables, listings and figures in line with agreed standards, protocols, timelines and change control processes. Review and quality check … programming code, outputs and documentation to ensure accuracy, compliance and reproducibility. Collaborate with statisticians, data scientists and study teams to implement analysis plans, answer technical questions and contribute to programming best practices. Apply knowledge of GxP, ICH requirements, internal processes and external regulations while helping introduce innovative tools ...

opportunities to enhance results Working with global delivery and technology teams to support production-ready data models and BI solutions Running statistical and exploratory analyses to uncover actionable insights Communicating analytical findings clearly to both technical and non-technical colleagues The ideal skills & experience Strong analytical and problem-solving ...

real time, support forecasting, and shape commercial strategy. Their work is deployed in production code and has direct commercial consequences – it's more than exploratory analysis. The function is now embedding AI into how that work gets done. Successfully leading it will require close collaboration with engineering, product ...