12 of 12 Exploratory Analysis Jobs in London

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 ...

models for forecasting, classification, recommendation, optimisation, clustering and anomaly detection. Apply statistical and machine learning techniques to analyse structured and semi-structured datasets. Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. Compare model approaches, select appropriate metrics and explain technical trade-offs clearly. Build … bring: Required: 3-5 years of commercial experience in Data Science, Machine Learning or Advanced Analytics roles. Strong hands-on Python experience for data analysis, feature engineering and model development. Strong SQL skills and experience working with complex or sizeable datasets. Solid theoretical and practical understanding of supervised learning ...

close collaboration with internal and external partners. About the Role Major accountabilities: You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making You will provide technical expertise in data science and (predictive) machine learning/AI to identify … opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy. You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs. Translate ...

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 ...

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 ...

sources independently to build datasets suited for modelling and in-depth analysis. Design and execute measurement frameworks — including A/B testing, causal impact analysis, and multivariate methods — selecting the appropriate technique based on the business question and clearly communicating trade-offs. Build, evaluate, and iterate on statistical models … scale Proficient understanding of statistical concepts including regression, ANOVA, probability, and frequentist vs. Bayesian approaches, with the ability to distinguish statistically significant results from exploratory analysis Experience applying a range of modelling techniques (e.g. linear and logistic regression, clustering) and iterating on models to improve accuracy and business ...

credit risk scores, predictive models, and AI-driven commercial data products on modern cloud infrastructure. The Data Scientist will: Independently prepare complex datasets, run exploratory analysis, and build predictive models, risk scorecards, and decisioning tools Drive commercial product innovation - identify market gaps, prototype algorithms, take concepts to market ...

will: Support the development and enhancement of models including risk measures, volatility estimation, optimisation logic, and tolerance frameworks. Assist with model validation through data analysis, back‐testing, and scenario testing, and structured validation checks. Contribute to improvements in model performance, stability, and methodology. Ensure model logic is accurately translated … platform enhancements, with a focus on strengthening automated testing and validation processes. Work with structured financial and market data to support modelling activities. Perform exploratory analysis to identify patterns, anomalies, or data quality issues. Support mapping, classification, data-integration tasks contributing to data engineering activities over time. Junior ...

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 ...

Bristol Myers Squibb in the UK (Uxbridge) is seeking a Senior Manager, Real-World Evidence (RWE) Biostatistician to lead curation and analysis of real-world data, supporting regulatory and clinical strategies. This on-site role requires 50% office time in Uxbridge and collaboration across Biostatistics, Data Science, HEOR, Epidemiology … Clinical, and IT. You will design data pipelines, conduct exploratory analyses, develop study protocols and SAS/R/Python workflows, and communicate complex #J-18808-Ljbffr ...

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 ...