13 of 13 Exploratory Analysis Jobs in England

decisions, guiding strategy. Reports to Director of Data, works alongside Product Data Analyst, Analytics Engineers, and Data Scientists. What you'll do: Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy Design and support experiments, generate hypotheses, foster continuous learning Define and align … gaps and foster strong relationships Champion unified data approach and stay current on analytics best practices Own problem spaces end-to-end, not just analysis - deliver outcomes Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions. TECH STACK Database: SQL (essential ...

growing data team responsible for extracting deeper insights from large operational datasets. The role offers the chance to work across predictive modelling, geospatial analysis, and commercial analytics while collaborating closely with stakeholders across the business. Key Responsibilities • Build and deploy predictive models using Python and machine learning techniques • Conduct … exploratory analysis across transport and mobility datasets • Perform geospatial analysis to understand customer journeys and station catchment areas • Work with stakeholders to scope and deliver data science projects • Analyse complex datasets including mobile network mobility data • Communicate insights through clear visualisations and dashboards • Collaborate with Data Engineers ...

optimisation programme, helping to design and analyse tests to improve digital journeys. Working closely with product and senior stakeholders, you'll translate measurement and analysis into clear, compelling stories that influence strategy and shape the products we deliver. Key Responsibilities Customer Insights: Analyse digital customer behaviour to understand … success metrics, create forecasts, and contribute to team OKRs, ensuring progress is measured and communicated throughout the quarter. Experimentation: Support the design, implementation, and analysis of A/B and multivariate tests to validate ideas and optimise customer experiences. Exploratory Analysis: Carry out proactive ...

data job.) This is a hands-on, high-impact position where the successful candidate will: Build, train, and deploy machine learning models — from exploratory analysis through to production-ready solutions that power the platform. Real models, in the real world. Not just PowerPoints about models. Develop and deploy … Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar. Solid grounding in statistics — hypothesis testing, regression, correlation analysis, and experimental design. Experience with SQL and data manipulation at scale. Comfortable with ambiguity and working independently in a fast-moving startup environment. This ...

consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract ...

degree in a related field like Data Science, Computer Science, Mathematics, Statistics etc. You'll also need to be skilled in data preparation, exploratory analysis and visualisation. Having experience with Machine Learning is beneficial as you'll contribute towards experimentation, validation and structured analytical work. You must ...

continuously enhance credit risk strategies across scorecards, policy rules, pricing, limits management and affordability models to optimise risk-reward outcomes. Conduct in-depth exploratory analysis using diverse data sources across various client segments to identify trends, assess risk exposure and generate actionable insights. Optimise credit risk decisioning through … risk analytics role, preferably within banking or financial services. Exceptional accuracy and attention to detail. Strong proficiency in SAS, SQL or Python for data analysis and modelling. Hands on experience with credit risk strategy development, credit scoring and decision analytics. Excellent problem-solving skills with the ability to translate ...

Senior Data Scientist in their Trading & Operations function, with deep experience leading high‐impact data science projects end‐to‐end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This … business problems Strong grounding in statistics, experimentation and analytical reasoning Proven experience building predictive models and taking them to production Ability to communicate complex analysis clearly to non-technical stakeholders Comfortable working with imperfect, large-scale data in a fast-moving environment Strong Python and SQL skills Cloud experience ...

Power Platform apps and automations that support business efficiency and self-service capability. - Build and maintain API integrations with third-party systems. Data Engineering & Analysis - Ingest, transform, and prepare structured and unstructured data. - Implement data quality, metadata, and lineage standards within Microsoft Fabric. - Support data science activities (exploratory analysis, feature engineering, modelling support). - Create scalable datasets and semantic models for business reporting and analytics. Security, Architecture & Best Practice - Ensure all solutions adhere to security-by-design, including access control, data protection, and secure integration patterns. - Contribute to IT security strategy, including Microsoft cloud security, identity ...

submissions, product and commercial domains Partner with stakeholders to understand business questions, translate them into analytical problems, and deliver clear, actionable insights Perform deep exploratory analysis on structured and unstructured datasets to identify trends, patterns and opportunities Design, build and maintain high-quality analytical datasets, metrics and reporting … review and coaching Collaborate closely with Data Engineering, Data Science and AI teams to support advanced analytics and AI-driven initiatives Contribute to the analysis and evaluation of new data products, features and insight-led offerings Support external BI and analytics initiatives, including the development of customer-facing reports ...

commercially minded data professional to lead end-to-end model development. What you’ll bring: Strong Python (including PySpark) and SQL skills for data analysis, feature engineering, and modelling Experience building and deploying end-to-end predictive models from scoping through validation and stakeholder communication Hands-on experience deploying … Marketing Mix Modelling experience isn’t necessarily essential but they’re looking for someone with a strong commercial or marketing background. Responsibilities: Lead data analysis and predictive modelling initiatives to improve customer acquisition, retention, pricing, and engagement Extract, prepare, and process data from multiple sources to create high-quality ...

data quality control solutions · Present and communicate processes, insights & findings to colleagues and clients · Produce answers in days, not months, and work by exploratory analysis and rapid iteration · Guide and mentor data engineers, review their work and ensure it meets i3Data’s quality standards · Share knowledge with ...

from complex, high-volume datasets. The Role As a Data Scientist, you will work on a broad range of modelling and analytical projects, from exploratory analysis to predictive modelling and geospatial insight. You will help the team extract deeper value from diverse datasets and shape how the organisation … through to modelling and stakeholder presentation. Building predictive models in areas such as fleet behaviour, sensors, demand forecasting and customer journey patterns. Conducting geospatial analysis using mobile network and location-based datasets to understand journey flow and catchment behaviour. Exploring open-ended datasets to identify value, opportunities and actionable ...