20 of 20 Permanent Exploratory Analysis Jobs in the UK excluding London

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 ...

systems into reliable, reusable data resources. Model and structure data in ClickHouse (and related tooling) so it is trustworthy, well-documented and ready for analysis and product development. Use AI tooling to accelerate the set-up of data resources, automate routine data work and support exploratory analysis - applying human judgement to the outputs. Deliver analysis and data products at pace so ideas can be validated with real evidence within days rather than months. Work in continuous discovery with developers, UX and business colleagues, holding the thread from data need through to delivered insight. Ensure data ...

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 ...

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 ...

workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development. The Opportunity The Senior Principal DSX Data Scientist ...

involved in the following: Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth. Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation. Build predictive models focused on areas such as customer churn, engagement … Advanced Analytics environments. Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake. Expertise in Python or R for statistical analysis, machine learning, and predictive modelling. Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data. Ability to communicate technical findings clearly to both technical ...

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 ...

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 ...

involved in the following: Analyse end-to-end customer and user journeys to identify adoption trends, engagement drivers, and opportunities for growth. Conduct exploratory analysis to uncover product usage patterns, conversion drop-offs, and areas for optimisation. Build predictive models focused on areas such as customer churn, engagement … Advanced Analytics environments. Advanced SQL skills with experience querying complex cloud-based data warehouses, ideally including Snowflake. Expertise in Python or R for statistical analysis, machine learning, and predictive modelling. Experience analysing customer journeys, retention, lifecycle metrics, and behavioural data. Ability to communicate technical findings clearly to both technical ...

data science techniques to clean, analyse, and model healthcare data that informs operational and clinical decisions. The role involves preparing high quality datasets, performing exploratory analysis, and contributing to predictive or statistical models that enhance service performance and patient outcomes. The post holder assists in developing automated data ...

will work across the full lifecycle, from understanding stakeholder needs to communicating findings and delivering client-ready analytics, tools and forecasts. The role blends exploratory analysis with dashboards and repeatable data products. #J-18808-Ljbffr ...

happening and assess what may happen next. The jobholder combines analytical rigour with commercial judgement, stakeholder engagement and strong written communication, ensuring that analysis results in practical business decisions. The kind of person we are looking for Curious, commercially minded and highly analytical. The successful person will be equally … stepping back to explain the so what? in plain language. Most importantly, they will create clarity from ambiguity, work at pace and turn analysis into decisions. Competence, knowledge and skills Essential Significant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional. Strong ...

workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development. The Opportunity: The Analytical Data Science Programmer … contributor to the clinical study team, responsible for transforming statistical analysis plans into high-quality, traceable programming deliverables. This includes both static and dynamic outputs, such as tables, listings, figures, and interactive data visualizations or dashboards. The role involves creating and validating datasets in accordance with Study Data Tabulation ...

happening and assess what may happen next. The jobholder combines analytical rigour with commercial judgement, stakeholder engagement and strong written communication, ensuring that analysis results in practical business decisions.The kind of person we are looking for Curious, commercially minded and highly analytical. The successful person will be equally comfortable … stepping back to explain the “so what?” in plain language. Most importantly, they will create clarity from ambiguity, work at pace and turn analysis into decisions. Competence, knowledge and skillsEssentialSignificant experience as a Data Analyst, Senior Data Analyst, Data Scientist, Insight Analyst or equivalent analytical professional.Strong analytical and problem ...

medical writers and regulatory colleagues as a peer, not a downstream resource reading protocols and SAPs early enough to shape how a study's analysis gets structured, then seeing that structure through to submission-ready SDTM and ADaM datasets, TFLs, and supporting documentation. Hybrid Based (3 days a week … ambiguity in a protocol before it becomes a data problem three months later, and making the judgment calls that keep a study's analysis both scientifically sound and audit-ready. What You'll Be Responsible For You'll lead end-to-end programming for your assigned studies in-house ...

medical writers and regulatory colleagues as a peer, not a downstream resource — reading protocols and SAPs early enough to shape how a study's analysis gets structured, then seeing that structure through to submission-ready SDTM and ADaM datasets, TFLs, and supporting documentation.Hybrid Based (3 days a week onsite … ambiguity in a protocol before it becomes a data problem three months later, and making the judgment calls that keep a study's analysis both scientifically sound and audit-ready.What You'll Be Responsible ForYou'll lead end-to-end programming for your assigned studies — in-house or outsourced ...

medical writers and regulatory colleagues as a peer, not a downstream resource — reading protocols and SAPs early enough to shape how a study's analysis gets structured, then seeing that structure through to submission‐ready SDTM and ADaM datasets, TFLs, and supporting documentation. Hybrid Based (3 days a week … ambiguity in a protocol before it becomes a data problem three months later, and making the judgment calls that keep a study's analysis both scientifically sound and audit‐ready. What You'll Be Responsible For You'll lead end-to-end programming for your assigned studies — in-house ...

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 ...