23 of 23 Exploratory Analysis Jobs

capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close … metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques ...

research, and iterate on application designs based on feedback. Implement frontend components using Foundry's Workshop, Slate, or other application-building tools. Perform data analysis to support application development, including exploratory analysis, metric definition, and validation. Write and optimize queries (SQL, Python, or Foundry-specific languages … programming language (Python, JavaScript, TypeScript, or similar). Strong SQL skills and experience working with relational databases or data platforms. Experience with data analysis, including data exploration, statistical analysis, or business intelligence. Understanding of frontend development concepts (HTML, CSS, JavaScript frameworks). Strong problem-solving skills and ability ...

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 ...

close collaboration with internal and external partners. About the Role Major accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making You will provide technical expertise in data science and (predictive) machine learning/AI to identify … opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Translate ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills: Experience applying data and analysis to real-world business, engineering or operational problems. Strong analytical problem-solving skills, with the ability to take an initially ambiguous question and determine ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills: Experience applying data and analysis to real-world business, engineering or operational problems. Strong analytical problem-solving skills, with the ability to take an initially ambiguous question and determine ...

explore, analyze, and communicate insights from clinical trial data. This role combines clinical trial expertise, statistical thinking, and modern R programming to support exploratory analyses, facilitate scientific discussions, and generate actional insights for study teams. The successful candidate will work closely with statisticians, clinicians, and R application developers … identify meaningful analytical questions, prepare clinical datasets, generate interactive visualizations, and drive improvements to the DIG analytical platform. Key Responsibilities- Perform exploratory analyses of clinical trial data using interactive R/Shiny applications.- Prepare, integrate, and quality-check clinical datasets for downstream exploratory analyses.- Identify trends, safety signals ...

data architectures by contributing analytical requirements and feedback. Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements. Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author … security principles, governance frameworks, and MOD compliance standards. Strong SQL skills for querying and manipulating structured datasets. Proficiency in Python or R for statistical analysis, data wrangling, and automation. Experience building dashboards and visualisations using Power BI, Tableau, or equivalent BI tools. Advanced Excel skills for analytical modelling ...

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 ...

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 ...

credit risk scores, predictive models, and AI-driven commercial data products on modern cloud infrastructure. The Data Scientist will: Independently prepare complex datasets, run exploratory analysis, and build predictive models, risk scorecards, and decisioning tools Drive commercial product innovation - identify market gaps, prototype algorithms, take concepts to market ...

deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/LLM techniques to solve real business problems, not just exploratory analysis. Experimentation and measurement: Design and run experiments (A/B testing, causal inference) to validate impact and guide decision making. Cross-functional delivery ...

develop reporting solutions, automate data workflows, implement AI agentic layers and partner with marketing business partners to deliver actionable insights. What You'll DoData Analysis & InsightsAnalyze marketing performance data to identify trends, optimization opportunities, and key performance drivers. Evaluate customer acquisition, engagement, and conversion metrics to support marketing strategy. … that enables seamless monitoring, control, and interaction with incoming lead data. Translate complex data into clear insights and recommendations for stakeholders. Support ad-hoc analysis and proactively identify opportunities for deeper insights. Technical & Data DevelopmentWrite efficient SQL queries to extract, transform, and analyze marketing and enterprise data. Use Python ...

peer‐set selection, summarisation, contextualisation and other processing of unstructured content. Most use cases are creative chains of multiple steps drawn from data processing, exploratory analysis, fundamental ML, NLP, SQL, LLMs and integration into our live systems. What you’ll do Lead the team Manage, coach and develop ...

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 ...

Python) and high motivation are crucial for success in this role. JOB RESPONSIBILITIES Provide scientifically rigorous statistical input into study design, statistical analysis plans, interpretation of statistical results, project development plans, regulatory issues and scientific and registration projects. Provide planning and communication of statistical analyses, data presentations and scientific … reports, including clinical trial results, exploratory analyses and analyses that synthesize results across studies, support for publication activities, scientific presentations and support for product defense. Be accountable for timeliness and quality of study/submission level statistical deliverables on assigned projects. Ensure that all statistics activities are conducted ...

Python) and high motivation are crucial for success in this role. JOB RESPONSIBILITIES • Provide scientifically rigorous statistical input into study design, statistical analysis plans, interpretation of statistical results, project development plans, regulatory issues and scientific and registration projects. • Provide planning and communication of statistical analyses, data presentations and scientific … reports, including clinical trial results, exploratory analyses and analyses that synthesize results across studies, support for publication activities, scientific presentations and support for product defense. • Be accountable for timeliness and quality of study/submission level statistical deliverables on assigned projects. Ensure that all statistics activities are conducted ...

Bristol Myers Squibb in the UK (Uxbridge) is seeking a Senior Manager, Real-World Evidence (RWE) Biostatistician to lead curation and analysis of real-world data, supporting regulatory and clinical strategies. This on-site role requires 50% office time in Uxbridge and collaboration across Biostatistics, Data Science, HEOR, Epidemiology … Clinical, and IT. You will design data pipelines, conduct exploratory analyses, develop study protocols and SAS/R/Python workflows, and communicate complex #J-18808-Ljbffr ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...