20 of 20 Exploratory Analysis Jobs

and pre-empting key trends to deliver on-demand, ML-powered insights to business leaders across the firm. Key Responsibilities: - Contributing across the data science lifecycle, including problem framing, exploratory data analysis (EDA), pipeline engineering (ETL/ELT), feature engineering, modelling, evaluation, deployment, and monitoring, with guidance from senior business leaders. - Utilizing Databricks for analytics and machine learning … design, model validation, and metrics, with familiarity with MLOps concepts needed to work with IT to implement MLOps using MLflow. - Proficiency in Python and SQL, along with experience in exploratory analysis and feature engineering in Databricks notebooks. - Familiarity with Databricks user workflows, including Delta Lake, Unity Catalog (governed access/lineage), MLflow, and Jobs/Workflows for scheduled More ❯

to align data science initiatives with the organisation's commercial strategy and priorities Technical Leadership : Drive the adoption of best practices in coding standards (e.g., code reviews, testing, documentation), exploratory analysis, model development, evaluation, and monitoring Partner Management : Collaborate closely with business partners to align on project scope, prioritisation, and manage expectations regarding technical constraints, trade-offs, and … on experience and expertise in Python data science ecosystem. Experience with distributed computing frameworks like Apache Spark (PySpark) or similar is preferred Data Science/ML: Strong experience in exploratory data analysis, machine learning algorithms, statistical inference, and experimental design, with desirable experience in optimisation techniques (e.g., linear/non-linear programming, or heuristics) Ownership: Proven track record More ❯

to clinical development programs of low to mid complexity, based on relevant technical and disease area knowledge. You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory biomarker and/or AI analyses and algorithms, to facilitate internal decision making, support submissions of candidate drug and research collaborations. You will provide technical expertise in data science …/AI as well as domain knowledge in biology and/or medicine to identify opportunities for influencing internal decision making and research collaborations. You will perform hands-on analysis of integrated clinical, imaging, digital, fluid biomarkers outcomes and high-dimensional, patient-level biomarker data from clinical trials and the real world to generate fit-for-purpose evidence that … principles and basic familiarity working with clinical data in a clinical trial (GxP) setting. Strong knowledge and understanding of (multivariate implementations of) statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modelling, longitudinal modelling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials. Familiarity with statistical 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Responsibilities Peraton has an opportunity for you to join our military intelligence program(s) of record to deliver, operate and sustain modernized, transformed data science/data analysis environments worldwide that enable speedy and precise decision making to warfighters. Responsibilities: The Expert Computer Scientist - Quality Assurance Framework (QAF) Oversight & Management utilizes expertise in designing, developing, and maintaining data systems … to support Government intelligence search and discovery missions. Make best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints. Employ data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development. Employ exploratory analysis and rapid iteration techniques of large volumes of data. Prepare products to describe … findings and activities. QAF Oversight & Monitoring specific: Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols. Evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts. Collaborate with the Statistician/Mathematician to develop and apply statistical models and methods. Analyze TEVV results and identify areas for improvement. Develop and implement corrective actions to More ❯

Responsibilities Peraton has an opportunity for you to join our military intelligence program(s) of record to deliver, operate and sustain modernized, transformed data science/data analysis environments worldwide that enable speedy and precise decision making to warfighters. Responsibilities: The Senior Computer Scientist - Quality Assurance Framework (QAF) Oversight & Management utilizes expertise in designing, developing, and maintaining data systems … to support Government intelligence search and discovery missions. Make best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints. Employ data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development. Employ exploratory analysis and rapid iteration techniques of large volumes of data. Prepare products to describe … findings and activities. QAF Oversight & Monitoring specific: Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols. Evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts. Collaborate with the Statistician/Mathematician to develop and apply statistical models and methods. Analyze TEVV results and identify areas for improvement. Develop and implement corrective actions to More ❯

Machine Learning and Natural Language Processing. Interfaces with subject matter experts to understand processes and their end products Source and collate data to build the Use case and perform exploratory analysis to validate its usability Be able to leverage Machine Learning/NLP/LLM where appropriate Write the code to support the building of the use case 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 ❯

visibility. Key Responsibilities Business & Data Alignment : Gather requirements, translate them into data logic, and ensure alignment on KPIs and metrics. Data Exploration : Identify relevant data from Snowflake and conduct exploratory analysis to support business insights. Data Modeling : Build and maintain scalable, accurate data models that reflect logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co … data best practices, and logistics trends. Cross-functional Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard More ❯

visibility. Key Responsibilities Business & Data Alignment : Gather requirements, translate them into data logic, and ensure alignment on KPIs and metrics. Data Exploration : Identify relevant data from Snowflake and conduct exploratory analysis to support business insights. Data Modeling : Build and maintain scalable, accurate data models that reflect logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co … data best practices, and logistics trends. Cross-functional Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard More ❯

visibility. Key Responsibilities Business & Data Alignment : Gather requirements, translate them into data logic, and ensure alignment on KPIs and metrics. Data Exploration : Identify relevant data from Snowflake and conduct exploratory analysis to support business insights. Data Modeling : Build and maintain scalable, accurate data models that reflect logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co … data best practices, and logistics trends. Cross-functional Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard More ❯

visibility. Key Responsibilities Business & Data Alignment : Gather requirements, translate them into data logic, and ensure alignment on KPIs and metrics. Data Exploration : Identify relevant data from Snowflake and conduct exploratory analysis to support business insights. Data Modeling : Build and maintain scalable, accurate data models that reflect logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co … data best practices, and logistics trends. Cross-functional Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard More ❯

visibility. Key Responsibilities Business & Data Alignment : Gather requirements, translate them into data logic, and ensure alignment on KPIs and metrics. Data Exploration : Identify relevant data from Snowflake and conduct exploratory analysis to support business insights. Data Modeling : Build and maintain scalable, accurate data models that reflect logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co … data best practices, and logistics trends. Cross-functional Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard More ❯