23 of 23 Permanent Exploratory Analysis Jobs in London

might be possible, and communicating useful findings clearly. You will support senior R&D, Data Programme and AI colleagues while taking meaningful ownership of exploratory data analysis, data profiling, analytical prototyping and the measurement of data and AI products. You will join a small, hands‐on multidisciplinary team … workspaces, build reproducible analyses and create clear visualisations and summaries for technical and business audiences. Form and test hypotheses; identify where further data, enrichment, analysis or modelling could create additional value for an R&D product or business question. Support the development and evaluation of baseline statistical and machine ...

Role You'll be responsible for: Leading complex and ambiguous analytical problem spaces across multiple teams and business areas Developing hypotheses and using exploratory analysis to identify high-value opportunities Building rapid analytical prototypes and exploratory models to assess feasibility and potential impact Turning complex datasets … analysis into clear, actionable recommendations Partnering with Data Scientists, Product Managers and senior business stakeholders Helping move analytical opportunities from initial exploration into experimentation and modelling Establishing best practices around exploratory analytics, hypothesis development and rapid prototyping Mentoring other analysts and improving analytical capabilities across the wider team ...

consumer lifecycle — from acquisition and activation through engagement, retention, churn and reactivation. Identify opportunities to improve conversion, customer value and sustainable growth using funnel analysis, cohort analysis, segmentation and behavioural analytics. Collaborate closely with Product Managers, Designers, Engineers and Data teams to ensure decisions are grounded in robust … analysis, customer insight and commercial understanding. Evaluate the performance of customer segments, markets, channels and product journeys, helping the team understand where growth opportunities and commercial trade-offs exist. Support decisions that improve key business outcomes, such as activation, conversion, repeat usage, retention, churn, customer lifetime value and revenue ...

Translate complex business challenges into scalable data products and machine learning models Own projects from exploratory analysis through production deployment Write complex SQL and engineer features Deploy baseline models quickly and iterate toward more complex solutions Manage the complete model lifecycle, including data extraction, feature engineering, deployment … analytical findings to non-technical stakeholders BS, MS, or equivalent experience in a quantitative field Preferred: experience taking initial machine learning models from exploratory notebooks to automated production pipelines Preferred: experience in customer behavior and propensity modeling, forecasting, optimization, or causal inference Core Competencies Demonstrates expertise in Data Science ...

Responsibilities Engage directly with business stakeholders, report owners, and customers to gather, analyze, and refine business requirements. Translate business requirements into SQL-based data analysis, reports, dashboards, and actionable insights. Perform root cause analysis and investigate data quality, reporting, and operational issues. Develop ad hoc analyses, prototypes, mock … Skills Strong expertise in SQL with the ability to write complex queries, troubleshoot issues, and perform advanced data analysis. Proficiency in Python for data analysis, data profiling, exploratory analysis, and rapid prototyping. Solid understanding of data modeling concepts , relational databases, and analytical data structures. Experience working with ...

engineering leads in Data Engineering, Analytics, ML, and AI. The role enables stronger clarity, alignment, and adoption of Digitalisation initiatives across DSM. Business Process Analysis Analyse end‐to‐end operational workflows, including manual steps, handoffs, approvals, exceptions, and rework loops. Combine process artefacts, interviews, and direct operational insight … into delivery‐ready initiatives. Discovery activities contribute to a measurable increase in Digitalisation pipeline quality and throughput. Required Skills & Experience Experience in business process analysis, operational analysis, or continuous improvement roles. Ability to map and clearly explain processes (BPMN, flow diagrams, or equivalent). Working knowledge ...

data solutions. Key Responsibilities Engagedirectly with business stakeholders, report owners, and customers togather, analyze, and refine business requirements. Translatebusiness requirements into SQL-based data analysis, reports, dashboards,and actionable insights. Performroot cause analysis and investigate data quality, reporting, andoperational issues. Developad hoc analyses, prototypes, mock-ups, and proof … Experience Technical Skills Strongexpertise in SQL with the ability to write complex queries,troubleshoot issues, and perform advanced data analysis. Proficiencyin Python for data analysis, data profiling, exploratory analysis,and rapid prototyping. Solidunderstanding of data modeling concepts , relational databases, andanalytical data structures. Experienceworking with Azure Data Platform ...

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 ...

build a holistic understanding of our customers, our products and our business. You'll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative researchYou'll build and automate actionable models and dashboardsYou'll craft data stories and share your findings and recommendations across … drive evidence-based decisionsExcellent SQL skills and experience of applying analytical and statistical approaches to problem solvingProven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervisionExcellent communication skills (technical and non-technical) and a focus on driving impactStrong growth mindset ...

build a holistic understanding of our customers, our products and our business. You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research You’ll build and automate actionable models and dashboards You’ll craft data stories and share your findings and recommendations … based decisions Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision Excellent communication skills (technical and non-technical) and a focus on driving impact Strong growth ...

researchers to build a holistic understanding of our customers, our products and our business. You'll influence our product roadmap and product strategy through exploratory analysis and quantitative researchIncreasingly, you will also: Use AI-assisted tools (e.g. Claude Code, Cursor) to accelerate analysis, coding and insight generationIdentify … with product teamsProven track record of delivering actionable insights that drive measurable impact with minimal supervisionStrong product intuition, business acumen and ability to connect analysis to strategyExcellent communication skills (technical and non-technical), with a focus on driving decisions and outcomesStrong ownership, curiosity and growth mindsetExperience with a scientific ...

Conduct Value Realisation Tracking: Continuously monitor and report on the actual business outcomes and ROI delivered by completed data projects and products Ad-Hoc Analysis, Triage & Intake Management The Data Product Partner is the first line of response for data questions from the business and plays a critical role … determining the right level of effort and ownership Conduct initial ad-hoc analysis where appropriate, including lightweight SQL queries, exploratory analysis in Looker as well as quick validations, sanity checks, and hypothesis testing Use this initial analysis to answer simple, time-sensitive business questions directly, clarify ...

into robust, scalable data products and machine learning models. You will be trusted to operate with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize … Economics, CS, Applied Math, etc.). Preferred Qualifications: 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models ...

business outcomes. Engineer new predictive features that can be incorporated into pricing algorithms. Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring. Collaborate with Data Scientists, Data Engineers, Analysts, and business stakeholders to deliver commercial value. Explore emerging machine ...

quality issues raisedthrough monitoring or stakeholder reports. Add and maintain data quality checks, tests and documentation for the pipelines in scope. Produce prototypes and exploratory analyses where requested, with direction from the FTEowner on scope and success criteria. Participate in code review and follow team conventions for version control ...

play an important role in developing, validating, monitoring and improving production models. You will work directly with data, Python, SQL and modelling tools, using analysis and experimentation to improve model performance and deliver measurable business value. Operating within a Microsoft Azure and Databricks environment, this is an opportunity … large datasets to investigate problems, test hypotheses and develop analytical solutions. Monitor production models, investigate changes in performance and identify opportunities for improvement. Undertake exploratory analysis, feature engineering, model development, testing and validation. Evaluate new modelling techniques, AI applications and external data sources through practical experimentation. Support ...

action modelling to generate insight and improve customer decisions. Write production-quality code and review the work of data scientists and AI engineers, including analysis, model design, code, prompts and data pipelines. Establish robust approaches to data preparation, experimentation, validation and performance measurement, ensuring outputs are reliable, actionable … review and improve the code, analytical methods, model designs, prompts and pipelines produced by others. Data science and analytics fundamentals. Strong understanding of exploratory analysis, statistical methods, experimentation and machine learning, including experience developing, evaluating and deploying models. You know when traditional analytics or machine learning is more ...

action modelling to generate insight and improve customer decisions. Write production-quality code and review the work of data scientists and AI engineers, including analysis, model design, code, prompts and data pipelines. Establish robust approaches to data preparation, experimentation, validation and performance measurement, ensuring outputs are reliable, actionable … review and improve the code, analytical methods, model designs, prompts and pipelines produced by others. Data science and analytics fundamentals. Strong understanding of exploratory analysis, statistical methods, experimentation and machine learning, including experience developing, evaluating and deploying models. You know when traditional analytics or machine learning is more ...

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 ...

aiming at the right things, that the numbers it relies on can be trusted, and that decisions get made on evidence. Your responsibilities Analysis and direction Use cohort and funnel data to work out how to maximise post-acquisition customer value Turn that analysis into specific recommendations … colleagues about who to contact, and why Use AI tools and automation where they help you reach an answer faster, particularly for exploratory analysis Maintain the framework the team uses to measure growth, and work out what the underlying dashboards need to show Forecasting and sizing Build ...

London seeks 2 Data Scientists to define, architect and lead delivery of ML/AI solutions. The roles cover the full data science lifecycle, exploratory analysis, and translating business problems into scalable model solutions for stakeholders. Successful candidates will run proofs of concept, develop and monitor models ...

translate business challenges into scalable data products and production-ready models in a London-based role. You will own end-to-end projects from exploratory analysis to deployment, writing complex SQL and engineering features, and deploying baseline models while iterating toward more sophisticated solutions. You will manage ...

Data Exploitation and Specialist Intelligence Department management team Skills required Minimum: Experiencing of managing and developing staff to deliver high-quality practical and exploratory analysis Experience of significant project delivery and oversight of acquisition and exploitation of intelligence data Experience of working in at least one of: intelligence … analysis (e.g., OSINT, SOCMINT), investigations, and/or financial services sector; of particular interest, in any of these areas, would be experience of economic or financial crime issues. Essential: Excellent communication skills, capable of delivering both strategic and tactical briefings to a range of stakeholders of differing seniority. Demonstrable ...