13 of 13 Exploratory Analysis Jobs in England

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 ❯

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 ❯

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 … Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervised clustering 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 … insurance industry. Excellent communication skills and a strong belief in teamwork are essential. Responsibilities Support the Analytics Team build out new analytics products for claims and underwriting 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 ❯

the impact of platform algorithms on clients and partners. Define, establish, and drive the development of advanced statistical and machine learning methods, setting modeling standards and best practices. Conduct exploratory analyses to deepen insights into key metrics and trends, and lead the design and execution of A/B tests and other complex experiments to validate hypotheses for the More ❯

compliance. Key Responsibilities: Develop, implement and continuously enhance credit risk strategies across scorecards, policy rules, pricing, limits management and affordability models to optimise risk-reward outcomes. Conduct in-depth exploratory analysis using diverse data sources across various client segments to identify trends, assess risk exposure and generate actionable insights. Optimise credit risk decisioning through advanced analytics and statistical … Proven experience in a credit risk analytics role, preferably within banking or financial services. Exceptional accuracy and attention to detail. Strong proficiency in SAS, SQL or Python for data analysis and modelling. Hands on experience with credit risk strategy development, credit scoring and decision analytics. Excellent problem-solving skills with the ability to translate data insights into actionable business More ❯

learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory analysis to uncover customer pain points and behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and … scaling of AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer insights and contribute to the ongoing development of the global Voice of Customer programme. About You We're looking for someone who brings: A degree More ❯

optimisation. This role is ideal for someone with a strong background in research methods and statistics, and a passion for applying data science to complex, practical problems. Responsibilities : Conduct exploratory analyses to uncover trends and patterns in data Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness Evaluate and implement emerging data science More ❯

designers, and product managers who are all passionate about providing an outstanding product experience Define metrics, build dashboards and compose reports, empowering data-informed improvements to developer experience. Perform exploratory analysis to understand how engineers interact with our internal developer platform, how they derive value from deployment and efficiency tooling, and where we can evolve the developer experience … innovation. Communicate insights and recommendations to key partners, helping activate data best practices Who You Are You have a 4+ years work experience with an emphasis on programmatic data analysis, reporting, and visualization/dashboarding with Tableau or similar BI solution You are able to communicate technical information clearly and concisely, tailoring to different audiences. You are curious and More ❯

world data problems. What you'll be working on: Pricing and revenue optimisation across large-scale survey operations Modelling client and user behaviour to improve performance Clustering, regression, and exploratory analysis to uncover insights Collaborating cross-functionally to influence decision-making Working with Python, SQL, and moving into Azure What they're looking for: 3-5+ years More ❯

world data problems. What you'll be working on: Pricing and revenue optimisation across large-scale survey operations Modelling client and user behaviour to improve performance Clustering, regression, and exploratory analysis to uncover insights Collaborating cross-functionally to influence decision-making Working with Python, SQL, and moving into Azure What they're looking for: 3-5+ years More ❯

world data problems. What you'll be working on: Pricing and revenue optimisation across large-scale survey operations Modelling client and user behaviour to improve performance Clustering, regression, and exploratory analysis to uncover insights Collaborating cross-functionally to influence decision-making Working with Python, SQL, and moving into Azure What they're looking for: 3-5+ years More ❯

optimisation. This role is ideal for someone with a strong background in research methods and statistics, and a passion for applying data science to complex, practical problems. Responsibilities : Conduct exploratory analyses to uncover trends and patterns in data Design and run experiments to test hypotheses related to pricing, customer demand, and promotional effectiveness Evaluate and implement emerging data science More ❯

and scaling the data foundations that power our research, product, and member-facing teams. You'll be hands-on across the full data stack: designing and operating pipelines, leading exploratory analyses, and developing ML and LLM-powered tools that enhance our capabilities. This is an end-to-end role where you'll own projects from ideation to pilot to … smooth end-to-end data flow Work closely with the research team to understand analytical needs and develop clean, reusable data products to power insights Conduct advanced analyses and exploratory data science projects to support strategic priorities Build and productionize LLM and ML-powered internal tools Champion best practices around data architecture, governance (e.g., Unity Catalog), and performance tuning More ❯