8 of 8 Exploratory Analysis Jobs

This is a high impact contract role for an experienced Data Scientist or Machine Learning Specialist who can operate across the full lifecycle from exploratory analysis through to deployment and monitoring within a modern production environment. What You Will Be Doing Building and validating machine learning models including … classification, unsupervised learning such as anomaly and outlier detection and ranking models Performing deep exploratory data analysis to identify trends, risk clusters and early signals Conducting time series analysis to assess trends across financial periods Engineering robust features from structured and semi structured datasets Deploying models into ...

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 ...

improve data-driven decision-making. Work with business and technical colleagues to understand requirements, clarify assumptions, and translate problems into analytical tasks. Communicate analysis, methods, and results clearly through written summaries, visualisations, presentations, and documentation. Help validate data, model outputs, metrics, and reports to ensure results are accurate, reliable … highly quantitative field such as mathematics, physics or computer science A quantitative PhD Experience working with real-world datasets (data cleaning, feature engineering, exploratory analysis) Exposure to machine learning model development and evaluation Familiarity with cloud platforms or distributed data tools (e.g. Azure, AWS, Spark) Understanding of software ...

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 manufactu click apply for full job details ...

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 ...

sources independently to build datasets suited for modelling and in-depth analysis. Design and execute measurement frameworks— including A/B testing, causal impact analysis, and multivariate methods— selecting the appropriate technique based on the business question and clearly communicating trade-offs. Build, evaluate, and iterate on statistical models … scale. Proficient understanding of statistical concepts including regression, ANOVA, probability, and frequentist vs. Bayesian approaches, with the ability to distinguish statistically significant results from exploratory analysis. Experience applying a range of modelling techniques (e.g., linear and logistic regression, clustering) and iterating on models to improve accuracy and business relevance. ...