10 of 10 Exploratory Analysis Jobs

identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and More ❯

You’ll enable the business to make quicker, smarter decisions through: Developing reporting solutions which facilitate data exploration to answer questions about what has happened and why Ad hoc exploratory analysis to provide deeper insight into the reasons behind what is happening Forecast analytics to provide insight as to what is likely to happen in the future Analytically … data suppliers to ensure they provide accurate, complete and timely customer and sales data utilising a variety of analytical techniques and tools extracting, cleaning, and preparing data for subsequent analysis acquiring and applying statistical techniques for data analysis You’ll also support user training and education regarding understanding of our data and use of BI tools Requirements: Proven … interest in data analysis (this could be from formal studies, self study or the workplace) Excellent communication and collaboration skills Ability to work independently and in a team environment Detail-oriented and strong attention to accuracy and completeness Exceptional problem-solving skills Willingness to learn and continuously improve technical and professional skills Competency with Microsoft office applications including Excel 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 ❯

AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize More ❯

AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize More ❯

way that’s build-ready with clear user stories, acceptance criteria, and process flows Experience with process modelling (BPMN, UML), prototyping, and wireframing tools (e.g., Figma). Strong data analysis skills, including dashboard/report creation and KPI tracking. Familiarity with Agile and hybrid delivery models, backlog management, and prioritisation techniques (e.g., MoSCoW). Understanding regulatory requirements relevant to … for process and system improvement. Comfortable working across multiple teams and disciplines, including external vendors. Open to coaching, knowledge sharing, and continuous learning. Able to support both structured and exploratory analysis and development approaches. Technical Exposure CRM platforms, including release management and feature documentation, those used within a call-centre setting is a plus Understanding of product architecture … SQL, Power BI, and Figma to validate assumptions and support solution design. Participation in UAT and environment setup to ensure what’s delivered matches what was asked for. Data analysis and reporting tools (Excel, Power BI, SQL). Requirements management and collaboration tools (Azure DevOps, Jira, Confluence). Process modelling and prototyping tools (BPMN, UML, Figma, Axure) Broader Responsibilities More ❯

based modelling. Proven ability to lead teams in designing and implementing complex data models and analytics solutions. Mastery of general-purpose programming languages (Python, C#, or similar) and data analysis packages. Strong communication skills for engaging with clients and internal stakeholders, including the ability to explain technical concepts to diverse audiences. Demonstrated experience in managing large data sets, from … onboarding through exploratory analysis and insight generation. Facility with SQL, data modelling, and data management tools. Ability to solve problems thoroughly, quickly, and creatively, with a keen eye for detail. Experience in litigation tracking, risk transfer solutions, and supporting customer adoption of analytics products. Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI More ❯

documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion–challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your More ❯

documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion-challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your More ❯

operations. Working with rich datasets from connected assets, energy systems, and environmental inputs, your work will deliver measurable efficiencies and insights that matter. You will: Perform statistical and predictive analysis across diverse datasets. Design and implement scalable, end-to-end data science workflows. Build and deploy machine learning models that optimise energy and system performance. Develop production-ready algorithms … from R&D and exploratory analysis. Collaborate with cross-functional teams to translate business needs into data-led solutions. Present technical insights clearly to both technical and non-technical stakeholders. Stay ahead of the curve by experimenting with emerging AI and ML techniques. What You’ll Bring Strong background in Python or R (e.g., Pandas, NumPy, Scikit-learn, TensorFlow More ❯