24 of 24 Exploratory Analysis Jobs

full 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 … trade-offs exist.Support decisions that improve key business outcomes, such as activation, conversion, repeat usage, retention, churn, customer lifetime value and revenue-related metrics.Conduct exploratory analysis to answer product and business questions, translating complex data into clear, commercially relevant recommendations.Define, monitor and communicate core SumUp Consumer KPIs, covering ...

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 ...

data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical lifecycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime … technical & business stakeholders * Promote best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science lifecycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business ...

development decisions in close collaboration with internal and external partners.Job DescriptionMajor accountabilities:You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision makingYou will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities … 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 business questions into analytical ...

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 exploitationThe data scientist is not expected to be trained/experienced … with 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 (e.g. ...

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 ...

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 ...

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 to 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, efficacy patterns ...

researchers to 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 ...

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 ...

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 ...

product 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 ...

deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/LLM techniques to solve real business problems, not just exploratory analysis. Experimentation and measurement: Design and run experiments (A/B testing, causal inference) to validate impact and guide decision making. Cross-functional delivery ...

deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/LLM techniques to solve real business problems, not just exploratory analysis. Experimentation and measurement: Design and run experiments (A/B testing, causal inference) to validate impact and guide decision making. Cross-functional delivery ...

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 into platform behaviour … updates, and 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 Quant Analysts ...

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 ...

adopt intelligent agent systems and features. Working closely with the team, you will design robust test strategies, develop automated test suites, perform exploratory testing, and ensure that quality gates are built into every stage of the delivery lifecycle. You will be instrumental in shaping how we test modern cloud … story refinement by identifying test scenarios, edge cases, and risks early. Be an advocate for quality engineering best practices within the squad. Manual Testing & Exploratory Analysis Conduct manual functional testing across web, API, microservices, and agent-based features. Perform exploratory testing to uncover defects related to logic ...

multiple 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 (e.g. … scaleProficient understanding of statistical concepts including regression, ANOVA, probability, and frequentist vs. Bayesian approaches, with the ability to distinguish statistically significant results from exploratory analysisExperience applying a range of modelling techniques (e.g. linear and logistic regression, clustering) and iterating on models to improve accuracy and business relevanceProficient communication skills ...

accountability. As a Senior Business Systems Analyst, your mission is to serve as a strategic partner to Product, Engineering, and Business stakeholders—leveraging deep analysis and data-driven insights to guide decisions and deliver high-quality solutions across the SuperVision platform.What You'll DoLead requirements discovery, analysis … client and vendor discussions, including occasional on-site meetings.•Apply Explore methodologies, tools, and systems to drive consistency, quality, and scalability.Perform in-depth data analysis to support product decisions, operational improvements, root cause investigations, and defect resolution.Analyze large and complex datasets to identify trends, anomalies, gaps, and opportunities across ...

accountability. As a Senior Business Systems Analyst, your mission is to serve as a strategic partner to Product, Engineering, and Business stakeholders—leveraging deep analysis and data-driven insights to guide decisions and deliver high-quality solutions across the SuperVision platform. What You'll DoLead requirements discovery, analysis … vendor discussions, including occasional on-site meetings. Apply Explore methodologies, tools, and systems to drive consistency, quality, and scalability. Perform in-depth data analysis to support product decisions, operational improvements, root cause investigations, and defect resolution. Analyze large and complex datasets to identify trends, anomalies, gaps, and opportunities across ...

department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements, review, develop and influence programming specifications as part of the analysis plans (incl. program-level strategies).Provide and implement statistical programming solutions; ensure knowledge sharing. Act as programming expert in problem-solving aspects.Ensure timely … quality development and validation of datasets and outputs for clinical study reports (CSRs), regulatory submissions/interactions, safety reports, publications, post-marketing activities or exploratory analyses (as required) in the assigned drug development studies/program. Understand Git-based version control workflows and their role in supporting collaborative, traceable ...

randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV.Strategic Analysis & MeasurementOwn the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle.Conduct exploratory … into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and ‘so what’ over technical detail.Be a champion of unbiased, rigorous analysis — including when the data doesn’t support a stakeholder’s hypothesis; willingness to be the voice of inconvenient truths is a core expectation ...

experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead one Phase I-IV clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never … questions from Health Authorities, Publications.Use SAS and/or R for purposes like QC of datasets and deliverables, inferential statistical analyses, modelling/simulation, exploratory analyses etc. Contribute to and participate in other initiatives at Cytel or sponsor side as appropriate. Oversight of more junior Statisticians as required.Full timePosting ...