18 of 18 Remote Exploratory Analysis Jobs in the UK

a 12-month maternity cover within the newly formed BI & Data team. The role is ideal for an aspiring leader in data & analytics, aiming to deliver business value through analysis projects and fostering a data-first culture at TickX. The key focus areas include: Supporting account management with ad hoc analysis on client health, partner performance, and TickX … pipelines from PostgreSQL and third-party sources. Providing insights to Customer Success teams about live clients to demonstrate partnership value. Mentoring junior BI team members. Responsibilities & Skills Conducting proactive exploratory analysis to generate incremental revenue for clients. Applying advanced analytics techniques and communicating findings effectively to non-technical stakeholders. Expertise in Conversion Rate Optimization and identifying opportunities on More ❯

econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies. Key Responsibilities Lead and manage data workflows: data extraction, transformation, validation, and exploratory analysis to ensure modelling-readiness. Build and refine Bayesian MMM models that capture the drivers of key marketing and commercial KPIs. Use Python (and optionally R) to design More ❯

making a positive impact in people’s daily lives, helping them solve real problems through simple, accessible technology. You’ll take ownership of both recurring reporting and fast-turnaround exploratory analysis. Work is shaped around focused six-week planning cycles, and you’ll play a key role in identifying and solving the most impactful problems the business faces. This … is a role for someone who thrives on working independently, enjoys solving problems, and is confident pulling clarity from ambiguity. What You’ll Be Doing: Leading data analysis across the business as a standalone function. Turning vague or high-level questions into actionable insights. Extracting what people really need from a request, and shaping your own plan to get More ❯

As a Data Visualisation Developer, you will play a pivotal role in designing, developing, and maintaining business intelligence solutions. Beyond just creating dashboards, you will define relevant metrics, conduct exploratory analysis, and contribute to the overall data ecosystem. You will need to be proactive, capable of working independently, and confident in engaging with stakeholders to refine project scope … with strategic objectives. Work closely with clients to gather requirements, refine project scopes, and communicate insights effectively. Create and maintain scalable and efficient databases to support analytics needs. Perform exploratory data analysis to uncover trends, anomalies, and actionable insights. Ensure data accuracy, consistency, and integrity across reports and dashboards. Collaborate with other teams to support data-driven decision More ❯

of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By … strategic partner. Data Scientist, Product Analytics Responsibilities Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products Work as a key member of the product team … launches in partnership with Product, Engineering, and cross-functional teams Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics Minimum Qualifications Bachelor's degree in Mathematics, Statistics More ❯

partner closely with 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 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 across R&D and … solve problems and drive evidence-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 mindset and sense of ownership. … data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding to analysis and communication We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary More ❯

product and performance datasets to uncover insights, test hypotheses, and identify features that drive business value Work on all parts of the data science workflow: from data cleaning and exploratory analysis to offline model benchmarking and validation Collaborate with marketers to reduce manual overhead in campaign management while improving ad efficiency and profitability Improve our ad feed infrastructure … product and performance datasets to uncover insights, test hypotheses, and identify features that drive business value Work on all parts of the data science workflow: from data cleaning and exploratory analysis to offline model benchmarking and validation Collaborate with marketers to reduce manual overhead in campaign management while improving ad efficiency and profitability Improve our ad feed infrastructure … models in production Strong Python and SQL skills, with a solid understanding of data wrangling, feature engineering and model evaluation Deep understanding of the data science process—comfortable with exploratory analysis, statistical testing, and model comparison techniques Experience with structured prediction problems (e.g. regression, classification, ranking) using real-world, often messy data Familiarity with advertising systems (Google Shopping More ❯

Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements at project-level, review and develop programming specifications as part of the analysis plans. Provide and implement statistical programming solutions; ensure knowledge sharing. In consultation with the Statistician, responsible for development of programming specifications of analysis datasets and pooled datasets. Ensure … timely and quality development and validation of datasets and outputs for CSRs, regulatory submissions/interactions, safety reports, publications or exploratory analyses (as required) in the assigned drug development study/project according to specifications. Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results. … contract and internal business guidance As assigned, act as subject matter expert (SME) or contribute to process improvement/non-clinical project initiatives with a focus on programming and analysis reporting procedures. Your Experience BA/BS/MS or international equivalent experience in statistics, computer science, mathematics, life sciences or related field Ideally 5+ years of work experience More ❯

Purpose: As a Global Customer Experience & Data Analytics Leader, you will be a strategic partner in transforming the customer journey through data-driven insights, voice of the customer (VoC) analysis, and cross-functional collaboration. This role blends deep analytical expertise with qualitative research and stakeholder engagement to influence business performance, drive operational efficiency, and support long-term strategic goals. … closed-loop processes that drive change and enhance customer satisfaction. Promote a customer-first culture by storytelling and delivering clear, engaging insights that inspire action and behaviour change. Data Analysis & Strategic Insight : Collect and analyse customer and business data from CRM systems, transactional databases, surveys, and feedback platforms. Use statistical techniques, exploratory analysis, and predictive modelling to … senior decision-makers. Data Management & Engineering : Analyse and optimise data structures and schemas to support efficient and integrated analytics solutions. Ensure data quality, consistency, and accessibility to support robust analysis and insight generation. Reporting, Visualisation & Communication : Develop and deliver impactful dashboards, reports, and visual presentations to communicate insights clearly and drive strategic decisions. Tailor messaging and formats for various More ❯

Purpose: As a Global Customer Experience & Data Analytics Leader, you will be a strategic partner in transforming the customer journey through data-driven insights, voice of the customer (VoC) analysis, and cross-functional collaboration. This role blends deep analytical expertise with qualitative research and stakeholder engagement to influence business performance, drive operational efficiency, and support long-term strategic goals. … closed-loop processes that drive change and enhance customer satisfaction. Promote a customer-first culture by storytelling and delivering clear, engaging insights that inspire action and behaviour change. Data Analysis & Strategic Insight : Collect and analyse customer and business data from CRM systems, transactional databases, surveys, and feedback platforms. Use statistical techniques, exploratory analysis, and predictive modelling to … narratives that influence senior decision-makers. Analyse and optimise data structures and schemas to support efficient and integrated analytics solutions. Ensure data quality, consistency, and accessibility to support robust analysis and insight generation. Develop and deliver impactful dashboards, reports, and visual presentations to communicate insights clearly and drive strategic decisions. Tailor messaging and formats for various audiences, from senior More ❯

role offers hybrid working, requiring 3 days per week or 12 days per month in our London Office. Key Accountabilities: Contribute to planning, execution, interpretation, validation, and communication of exploratory analyses and algorithms to facilitate decision-making. Provide technical expertise in data science and machine learning/AI to identify influencing opportunities and discuss white papers/regulatory policies. … Perform hands-on analysis of integrated clinical trial and real-world data to generate evidence for decision-making in drug development. Your Experience Ph.D. in data science, biostatistics, or a related quantitative field (or equivalent). Over 6 years of experience in clinical drug development with extensive clinical trial exposure. Strong knowledge of statistical methods like time-to-event … analysis, machine learning, meta-analysis, mixed-effect modeling, Bayesian methods, variable selection techniques (e.g., lasso, elastic net, random forest), and clinical trial design. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. Excellent communication skills, both verbal and written. Ability to develop and deliver clear presentations for decision-making in More ❯

working, requiring 3 days per week or 12 days per month in our London Office. Key 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. Your Experience Ph.D. in data science, biostatistics, or other quantitative field (or equivalent). More than … years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge More ❯

working, requiring 3 days per week or 12 days per month in our London Office. Key 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. Your Experience Ph.D. in data science, biostatistics, or other quantitative field (or equivalent). More than … years experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Strong programming skills in R and Python. Demonstrated knowledge More ❯

analyses and algorithms to support decision-making. Provide expertise in data science and machine learning/AI to identify opportunities influencing internal decisions and regulatory discussions. Perform hands-on analysis of integrated data from trials and real-world sources to generate evidence for drug development decisions. Your Experience Ph.D. in data science, biostatistics, or a related quantitative field (or … equivalent). Over 3 years of experience in clinical drug development with extensive exposure to clinical trials. Strong knowledge of statistical methods such as survival analysis, machine learning, meta-analysis, mixed-effects modeling, Bayesian methods, and variable selection techniques. Proficiency in R and Python, with experience in data visualization, exploratory analysis, and predictive modeling. Excellent communication More ❯

Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements at project-level, review and develop programming specifications as part of the analysis plans. Provide and implement statistical programming solutions; ensure knowledge sharing. In consultation with the Statistician, responsible for development of programming specifications of analysis datasets and pooled datasets. Ensure … timely and quality development and validation of datasets and outputs for CSRs, regulatory submissions/interactions, safety reports, publications or exploratory analyses (as required) in the assigned drug development study/project according to specifications. Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results. … contract and internal business guidance As assigned, act as subject matter expert (SME) or contribute to process improvement/non-clinical project initiatives with a focus on programming and analysis reporting procedures. Your experience: BA/BS/MS or international equivalent experience in statistics, computer science, mathematics, life sciences or related field Ideally 5+ years of work experience More ❯

CRT production. Comply with company, 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. CSPD and other project-level strategies). Provide and implement statistical programming solutions; ensure knowledge sharing. Act as programming expert in problem-solving aspects. Ensure timely and … quality development and validation of datasets and outputs for CSRs, regulatory submissions/interactions, safety reports, publications, post-marketing activities or exploratory analyses (as required) in the assigned drug development studies/project. Responsible for quality control and audit readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results. Maintain up … agreed contract and internal business guidance. Act as subject matter expert (SME) or, as assigned, lead process improvement/non-clinical project initiatives with a focus on programming and analysis reporting procedures. Your experience: BA/BS/MS or international equivalent experience in statistics, computer science, mathematics, life sciences or related field. Ideally 7+ years of work experience More ❯

of travel while launching a meaningful career in AI. Day to day Support the development and deployment of machine learning models using Python and Databricks Conduct data preparation and exploratory analysis to understand structures, trends, and anomalies Collaborate with data scientists and engineers to select appropriate modelling techniques Communicate technical insights through visualisations and business storytelling Apply best More ❯

of travel while launching a meaningful career in AI. Day to day Support the development and deployment of machine learning models using Python and Databricks Conduct data preparation and exploratory analysis to understand structures, trends, and anomalies Collaborate with data scientists and engineers to select appropriate modelling techniques Communicate technical insights through visualisations and business storytelling Apply best More ❯