16 of 16 Exploratory Analysis Jobs

support business objectives and decision-making needs. Analytics & Continuous Improvement Identify opportunities to improve data accessibility, data quality, process efficiency, and governance practices. Perform exploratory analysis to validate business assumptions and support strategic initiatives. Recommend enhancements to data models, data flows, and governance processes. Support enterprise initiatives involving … Information Systems, Data Analytics, Computer Science, Business, Statistics, or a related field, or equivalent work experience. Minimum of 5 years' experience in data analysis, business analysis, data governance, data stewardship, data modeling, or data engineering in a dynamic environment. Minimum of 5 years' experience with SQL, including authoring ...

data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical lifecycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime … technical & business stakeholders * Promote best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science lifecycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business ...

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 ...

into solutions: Partner with stakeholders to turn strategic objectives into clear analytical approaches, balancing performance, explainability, and practicality. Drive insight through data & experimentation: Lead exploratory analysis, prototype development, and evaluation of modelling approaches, communicating findings to both technical and non-technical audiences. Ensure governance, quality & compliance: Maintain high ...

complex product and optimisation challenges. What You'll Do Partner with Product and Engineering teams to define success metrics and evaluate product performance. Conduct exploratory analysis to identify opportunities for growth and customer impact. Design and analyse experiments including A/B tests and observational studies. Build predictive … analytical projects. Experience working in cross-functional product teams. Demonstrated ability to communicate complex findings clearly. Technical Skills Python and SQL Statistical analysis and experimentation Machine Learning Data Visualisation and Dashboarding Cloud-based analytics environments Data modelling and feature engineering Nice to Have Experience with optimisation, operations research ...

internal and external data sources. Engineering new features and rating factors to enhance existing pricing algorithms. Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities. Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders to translate challenges into ...

engagements to assess and remediate financial crime risk across payments and banking environments. Drive data diagnostics and analytical assessments including data profiling, feature engineering, exploratory analysis, and performance benchmarking. Evaluate technology solutions for AML monitoring, customer risk scoring, and customer screening, and support vendor selection and integration processes. … financial crime within a financial institution (bank, FinTech, other regulated entity) or a financial crime‐focused consultancy team. Strong hands‐on experience with data analysis and data tooling. Knowledge of financial crime typologies, AML, sanctions, fraud risk, and regulatory expectations. Experience with detection frameworks, monitoring platforms, or machine learning ...

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 ...

comfortable working with complex datasets, developing analytical workflows and engaging with business stakeholders to understand the decisions your work supports. You can move between exploratory analysis and production‐quality delivery, challenge assumptions, investigate ambiguity and remain accountable for whether your solutions are used and create value. … developing data products, analytical workflows or decision‐support solutions in Palantir Foundry or a comparable platform. strong capability in data modelling, transformation, integration and analysis, using technologies such as Python, SQL or equivalent tools. experience taking solutions from problem definition through development, testing, deployment and continuous improvement. ability ...

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 ...

squad, partnering closely with Product Managers and Engineers to identify opportunities, shape strategy and deliver customer-facing data products and AI solutions. Responsibilities include exploratory analysis, experimentation, machine learning, NLP and AI-driven product development. Product Areas Fraud & Risk Personalisation & Recommendations Checkout & Conversion Optimisation Key Requirements 6–7+ ...

engagements to assess and remediate financial crime risk across payments and banking environments. – Drive data diagnostics and analytical assessments including data profiling, feature engineering, exploratory analysis, and performance benchmarking. – Evaluate technology solutions for AML monitoring, customer risk scoring, and customer screening, and support vendor selection and integration processes. ...

programmatic processing to ensure the right data is available at each stage \n . Onboard and validate new data sources using existing schemas, including exploratory analysis to define new schemas \n . Support and enhance ingestion infrastructure, pipelines and production operations for critical analytics needs \n . Contribute ...

Bristol Myers Squibb is seeking a Senior Manager, Data Science to join DSAA in drug development. You will lead exploratory analyses across clinical trials, genomics, imaging, and real-world data, delivering actionable insights for global development decisions. The role blends computational science, rigorous statistics, and drug development, with collaboration ...

making across the BBC. Working with a range of data sources, from digital behavioural data to audience panels and surveys, you'll deliver robust analysis that influences how the BBC measures success and plans for the future. WHY JOIN THE TEAM You'll join a team of around … improve understanding of audience behaviour, combining data from multiple sources from digital activity to panel data • Design, develop and evaluate analytical models, ranging from exploratory analyses and proof-of-concepts through to production solutions delivered in partnership with engineering teams. • Develop reproducible analytical workflows using SQL, Python ...

graduate medical education GME ). The team also oversees research on the discipline and profession of academic medicine through survey data collection, descriptive and exploratory analyses for data visualizations and summary reports, and comparative analyses for publication by member advisory committees/work groups. The Senior Research and Data … proceed. Responsibilities: Designs, plans, and manages the frameworks (e.g., project milestones and timelines for deliverables) for survey research studies and other data analysis projects from inception to completion. Develops and oversees study protocols while ensuring compliance with research ethics and data confidentiality. Coordinates the activities of cross-functional teams ...