17 of 17 Exploratory Analysis Jobs in the UK

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 ...

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 ...

reusable analytical datasets. Develop insightful dashboards, reports and data products that drive business value. Ensure data quality, validation and governance standards are maintained. Conduct exploratory analysis to identify trends, risks and opportunities. Communicate findings through compelling visualisations and business-focused recommendations. Key Skills & Experience Strong expertise in Microsoft ...

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 ...

they're not, without hiding behind the maths. You're comfortable using AI tools - LLMs, code assistants, and similar - to accelerate your workflow, from exploratory analysis to code generation, and you're curious about where these tools can augment the modelling process itself. This role suits someone ...

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 ...

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+ ...

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 ...

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. ...

design, implement, and test new and existing products. Apply and implement advanced statistical and machine learning methods to solve complex business problems. Conduct exploratory analyses into key metrics and lead the design and execution of A/B tests and other complex experiments to validate hypotheses. Create clear, effective ...

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 ...

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 ...