15 of 15 Exploratory Analysis Jobs in the UK excluding London

transformation processes, and collaborate to build scalable, high-quality data solutions that drive insights. Data Scientist: Support quantitative research and management teams by delivering high-quality data models and exploratory analysis. Extract insights from complex datasets, build robust data pipelines, and collaborate across teams to enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for some More ❯

language models (LLMs), ensuring coherence, accuracy, and logical consistency. Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI-driven models. Conduct descriptive and exploratory analysis to uncover patterns, trends, and potential applications across a wide range of datasets. Maintain robust and scalable data infra to support real-time and batch processing workflows. … Science or Quantitative roles within finance. Proficiency in Python and SQL with exp. in data processing libraries such as pandas/numpy. Experience with machine learning frameworks and statistical analysis tools. Familiarity with financial data sources, APIs, and data modelling techniques. Ability to design, implement, and maintain scalable data pipelines and workflows. Excellent problem-solving skills and the ability More ❯

job poster from Women in Data Location: Edinburgh or Glasgow or Alderley Park (Wilmslow) Working style: Hybrid 50% home/office based We are growing our Data & AI Strategy Analysis practice, and we are looking for a Principal Data Analyst to join our Data & AI Strategy team to explore strategic opportunities for value from data and AI. As an … clients. You’ll enjoy the journey from uncovering and profiling new value pools and developing hypotheses for value. This will mean getting hands on with data in messy (multidimensional) exploratory analysis of complex to identify and prioritise strategic opportunities for value. In the past 2 years we have deployed a shiny, new modern tech stack and invested in … we can research through our data to inform strategic decision-making Demonstrable experience of having delivered actionable insight that led to significant value creation Skilled and experienced in statistical analysis and modelling, proficient in data wrangling and data feature engineering; experienced in relevant data technologies such as Azure, DataBricks, PowerBI, and coding languages such as Python, SQL ideally experience More ❯

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 ❯

Principal Data Analyst Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Park (Wilmslow) Working style: Hybrid 50% home/office based We are growing our Data & AI Strategy Analysis practice, and we are looking for a Principal Data Analyst to join our Data & AI Strategy team to explore strategic opportunities for value from data and AI. As an … clients. You'll enjoy the journey from uncovering and profiling new value pools and developing hypotheses for value. This will mean getting hands on with data in messy (multidimensional) exploratory analysis of complex to identify and prioritise strategic opportunities for value. In the past 2 years we have deployed a shiny, new modern tech stack and invested in … we can research through our data to inform strategic decision-making Demonstrable experience of having delivered actionable insight that led to significant value creation Skilled and experienced in statistical analysis and modelling, proficient in data wrangling and data feature engineering; experienced in relevant data technologies such as Azure, DataBricks, PowerBI, and coding languages such as Python, SQL ideally experience More ❯

workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support … International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play a … for claims and underwriting Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results. Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models 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 ❯

data insights are clear and actionable for driving performance improvements Use data to provide strategic solutions that enhance how the business grows and operates as a company Communicate complex analysis and data insights to technical and non-technical stakeholders YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data Visualisation and Python/R … Strong background in advanced analytics, predictive modelling and exploratory analysis Proven expertise in DBT and reporting THE BENEFITS Up to £85,000 + bonuses + equity Hybrid London HOW TO APPLY If interested in the role please send your CV to [emailprotected] or via the Apply Link below #J-18808-Ljbffr 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 ❯

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 ❯

Accountabilities: Collaborates with the study teams to design data structure and specifications for ad hoc and study deliverables including, but not limited to ADaM datasets, Tables, Figures, Listings and Analysis Submission content. Collaborates with study teams to ensure the quality and accuracy – thus submission readiness – of clinical data as required by authorities (i.e. SDTM, ADaM, tables, figures, listings, define.xml … . Leads and oversees requested efforts for pooled and exploratory analyses working closely with Statistics TA lead and/or study statisticians as well as with clinical programming team and their collection of legacy data. Leads and oversees the in-house specification and delivery of ISS and ISE datasets and associated output (tables, figures and listings) when not provided … closely with clinical study teams to plans and executes activities to ensure project timelines are met with high quality deliverables. Additional tasks: • Collaborates with CR&D staff regarding data analysis requests. • Performs additional statistical analyses including but not limited to: o support responses to regulatory agencies, o generate integrated summary of safety and efficacy, o support publications and presentations 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 ❯

industry-recognised qualifications, and make a real impact from day one. Role 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 ❯