8 of 8 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 ...

Python (4) Geospatial intelligence software (5) APIs from commercial/open-source providers. The data scientist will be expected to conduct exploratory analysis of datasets to address a range of client problem sets. Open-Source Intelligence and data exploitation The data scientist is not expected to be trained … hands-on experience developing models that solve practical problems and deliver measurable impact. You are comfortable working across the full machine learning lifecycle – from exploratory data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem ...

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 ...

adopt intelligent agent systems and features. Working closely with the team, you will design robust test strategies, develop automated test suites, perform exploratory testing, and ensure that quality gates are built into every stage of the delivery lifecycle. You will be instrumental in shaping how we test modern cloud … story refinement by identifying test scenarios, edge cases, and risks early. Be an advocate for quality engineering best practices within the squad. Manual Testing & Exploratory Analysis Conduct manual functional testing across web, API, microservices, and agent-based features. Perform exploratory testing to uncover defects related to logic ...

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 ...