22 of 22 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 ...

London offices. This is an experienced individual contributor role for someone who enjoys working with ambiguous problems, exploring data, developing hypotheses and turning analysis into actionable business decisions. You will work across multiple teams, partnering with Analytics, Data Science and Product stakeholders to identify opportunities, shape analytical initiatives … influence how problems are approached. Responsibilities include: Lead exploratory analysis across complex, cross-functional business problems Identify patterns, opportunities and hypotheses that can drive business decisions Develop analytical prototypes and models to test ideas and assess potential impact Translate complex analysis into clear, actionable recommendations for stakeholders ...

team's data platform, and support their adoption in practice. You will lead the delivery of analytical products, establish effective approaches for turning exploratory analysis into reliable services, mentor less experienced colleagues and support the Lead Applied Engineer with technical leadership where required. You will join the team … reporting to the Lead Applied Engineer. This is a senior individual-contributor role for someone with strong statistical and engineering judgement, experience of turning analysis into operational tools, and a clear interest in producing work that analysts use in practice. HOW YOU WILL MAKE AN IMPACT Work directly with ...

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 ...

high impact initiatives across areas such as credit risk, fraud prevention, customer engagement, and operational efficiency, helping the business make informed decisions through robust analysis, experimentation, and modelling. How you'll contribute: Build and iterate on statistical and machine learning models to solve business problems across areas such … common data science libraries, and follow engineering best practices appropriate for production systems. Use SQL and dbt to extract, transform, and validate data for analysis and modelling, ensuring traceability and reliability of outputs. Collaborate with Risk, Compliance, and Audit stakeholders to ensure data science work is appropriately governed, documented ...

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 … project delivery and production deployment where appropriate. Develop reproducible analytical workflows using SQL, Python or R on our data and machine learning platform, including exploratory analysis and proof-of-concepts. Develop an understanding of the BBC and wider media landscape to contextualise models and analysis, and communicate ...

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 ...

focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses … support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more ...

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 ...

large-scale protein sequence and structural data. You will analyse natural, generated, and experimentally tested proteins using sequence and structural similarity, clustering, alignment, interface analysis, diversity selection, and other computational approaches. You will use these analyses to understand design space, select candidates for experimental testing, build rigorous evaluation datasets … strong programming ability with a deep understanding of protein sequence and structure, and is comfortable moving between internal research and client-facing scientific work, exploratory analysis, and robust implementation. About You Essentials You have a MSc, PhD or equivalent experience in computational protein engineering, or a closely related ...

data capability and enhance the value delivered across audits. This role plays a central part in ensuring audits are underpinned by robust data analysis and insight. Working closely with the GIA team, you will extract, analyse and visualise data from multiple sources to assess risks, evaluate controls, and produce … more meaningful, insight-driven audit outcomes. You will deliver clear, evidence-based analysis, build dashboards and MI to support decision-making, and help communicate findings to stakeholders. The role also supports the adoption of advanced analytics, including automation, machine learning and AI, to continuously improve audit effectiveness. All activities ...

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 ...

team's founding cohort of engineers, reporting to the Lead Applied Engineer. This role suits an engineer who is comfortable with statistical analysis, or a data scientist with sound engineering habits, someone who is driven to get useful things into the hands of real users. HOW YOU WILL MAKE … applications, using the data products provided by the team's data engineers. ABOUT YOU Experience building analytics, data science or data products. Experience taking exploratory analysis beyond the notebook into something tested, repeatable and deployed, or a clear understanding of what that requires. Solid Python software engineering: testing ...

rather than spending months trying to build something theoretically perfect. You won’t be a great fit if you You mainly want to do exploratory analysis. Analysis will be part of the job, but the expectation is that it ultimately results in models, decisions and measurable outcomes. … with the CRO and teams across Credit Risk, Fraud, Collections, Finance, Product and Marketing. We expect you to have a view on what the analysis means and what we should do with it. You want established modelling playbooks to follow. We have a strong data foundation, but there ...