1 to 25 of 43 Exploratory Analysis Jobs

Develop and maintain data-driven solutions that improve business decision making Participate in the full analytics lifecycle, including data acquisition, exploratory analysis, model development, deployment support, monitoring, and communication of results Collaborate with the Managing Data Scientist, team members, cross-functional partners, and business stakeholders Apply statistical, machine … hands-on experience using Python to solve analytical, data science, machine learning, or data engineering problems Foundational understanding of statistics, machine learning, and data analysis techniques Experience applying statistical, machine learning, and data analysis concepts to real-world business, academic, or personal projects Strong problem-solving, communication ...

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, customer insight and commercial understanding. Evaluate the performance of customer segments, markets, channels and product journeys, helping the team understand where growth opportunities and commercial trade-offs exist. Support decisions that improve key business outcomes, such as activation, conversion, repeat usage, retention, churn, customer lifetime value and revenue ...

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 ...

Translate complex business challenges into scalable data products and machine learning models Own projects from exploratory analysis through production deployment Write complex SQL and engineer features Deploy baseline models quickly and iterate toward more complex solutions Manage the complete model lifecycle, including data extraction, feature engineering, deployment … analytical findings to non-technical stakeholders BS, MS, or equivalent experience in a quantitative field Preferred: experience taking initial machine learning models from exploratory notebooks to automated production pipelines Preferred: experience in customer behavior and propensity modeling, forecasting, optimization, or causal inference Core Competencies Demonstrates expertise in Data Science ...

Responsibilities Engage directly with business stakeholders, report owners, and customers to gather, analyze, and refine business requirements. Translate business requirements into SQL-based data analysis, reports, dashboards, and actionable insights. Perform root cause analysis and investigate data quality, reporting, and operational issues. Develop ad hoc analyses, prototypes, mock … Skills Strong expertise in SQL with the ability to write complex queries, troubleshoot issues, and perform advanced data analysis. Proficiency in Python for data analysis, data profiling, exploratory analysis, and rapid prototyping. Solid understanding of data modeling concepts , relational databases, and analytical data structures. Experience working with ...

capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close … metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques ...

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 ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills Experience applying data and analysis to real‐world business, engineering or operational problems. Strong analytical problem‐solving skills, with the ability to take an initially ambiguous question and determine ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills Experience applying data and analysis to real‐world business, engineering or operational problems. Strong analytical problem‐solving skills, with the ability to take an initially ambiguous question and determine ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills: Experience applying data and analysis to real-world business, engineering or operational problems. Strong analytical problem-solving skills, with the ability to take an initially ambiguous question and determine ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills: Experience applying data and analysis to real-world business, engineering or operational problems. Strong analytical problem-solving skills, with the ability to take an initially ambiguous question and determine ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills: Experience applying data and analysis to real-world business, engineering or operational problems. Strong analytical problem-solving skills, with the ability to take an initially ambiguous question and determine ...

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 … 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 ...

self‐driven approach, with the ability to take ownership and see work through to completion A structured and logical approach to problem‐solving and analysis A genuine growth mindset, with a willingness to learn, accept feedback and continuously improve Your technical experience You’ll ideally have hands‐on experience … using Power BI or similar analytics platforms Preparing and validating real‐world datasets, including data cleansing, handling missing or duplicate records, standardising inputs and exploratory analysis Working with structured business data from enterprise systems such as ERP and CRM platforms , with an understanding of data relationships, master data ...

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 ...

data architectures by contributing analytical requirements and feedback. Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements. Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author … security principles, governance frameworks, and MOD compliance standards. Strong SQL skills for querying and manipulating structured datasets. Proficiency in Python or R for statistical analysis, data wrangling, and automation. Experience building dashboards and visualisations using Power BI, Tableau, or equivalent BI tools. Advanced Excel skills for analytical modelling ...

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 ...

into robust, scalable data products and machine learning models. You will be trusted to operate with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize … Economics, CS, Applied Math, etc.). Preferred Qualifications: 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models ...

internal and external data sources. Engineering new features and rating factors to enhance existing pricing algorithms. Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities. Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders to translate challenges into ...

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 ...

action modelling to generate insight and improve customer decisions. Write production-quality code and review the work of data scientists and AI engineers, including analysis, model design, code, prompts and data pipelines. Establish robust approaches to data preparation, experimentation, validation and performance measurement, ensuring outputs are reliable, actionable … review and improve the code, analytical methods, model designs, prompts and pipelines produced by others. Data science and analytics fundamentals. Strong understanding of exploratory analysis, statistical methods, experimentation and machine learning, including experience developing, evaluating and deploying models. You know when traditional analytics or machine learning is more ...

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 ...

engineering, or ML engineering, ideally targeting large-scale production systems. Demonstrated AI/ML experience across multiple phases of the machine learning lifecycle, from exploratory analysis to production systems. Facility with systems topics including Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced networking at datacenter scale. Solid scripting ...