1 to 25 of 38 Exploratory Analysis Jobs in the UK

join its dynamic team as Graduate Data Analysts in London. This is an exciting opportunity for individuals with a STEM degree (minimum 2:1) and a passion for data analysis to launch their careers in a fast-growing, innovative environment. As a Graduate Data Analyst, you will work with leading organisations across industries, gaining hands-on experience in data … quality data solutions that drive business insights. Data Scientist: Working as a Data Scientist, you’ll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You’ll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data … programme. What makes a great Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are essential for this role. If More ❯

testable code, automate data transformation processes, and collaborate to build scalable, high-quality data solutions. Data Scientist: Support research and management teams by delivering high-quality data models and exploratory analysis. Extract insights from complex datasets, build data pipelines, and collaborate across teams to enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for ambitious organisations. … least 6 industry-recognised qualifications during the programme. What makes a great Grayce Analyst: 2:1 Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot More ❯

target. Responsibilities of the role • Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of client products • Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products • Partner with Product and … identify trends and opportunities • Inform, influence, support, and execute our product decisions and product launches • May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors • Demonstrate good judgment in selecting methods … partnerships with other teams and how scalable solutions should be governed effectively. • Enjoys getting their hands dirty to understand data and system disconnects and can drive insightful root-cause-analysis • Passionate about building solid and scalable measurement solutions Qualifications & Experience • Requires a Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Economics, Physics, Applied Sciences, or a More ❯

and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Key job responsibilities 1) Ability to do exploratory analysis: Fetch data from systems and analyze trends 2) Identify consumer segments that need to be actioned to drive adoption of Amazon Pay 3) Developing India specific customer … payments data team provides data and insights to the partner verticals so as to enable them to take decisions. BASIC QUALIFICATIONS - 3+ years relevant experience in financial/business analysis - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - 3+ years of experience with Advanced SQL, advanced Excel and … Data visualization tool like Tableau, Power BI etc. - Strong acumen and relevant experience in hypothesis testing and exploratory data analysis - 5+ years of experience in B2C business across marketing analytics, consumer research, consumer loyalty functions - Ambitious individual with a strong analytic approach and bias for data based judgement, Inquisitive mindset with proven problem solving ability, and a passion More ❯

large 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

team, you’ll own the full lifecycle—from data extraction to generating insights that inform decisions. Your role will include designing tracking systems, creating visualisations, building dashboards, and conducting exploratory analyses. In this Role, you’ll get to: Conduct integrated analyses of market competition, trends, and business performance to generate actionable insights that fuel growth. Identify key market trends … the ability to solve problems, uncover insights, and communicate them effectively to stakeholders. Strong SQL skills are a must, with proficiency in Tableau, Excel, BigQuery, and Hive for data analysis and visualization. Bachelor’s degree or higher in a quantitative field (e.g., Statistics, Economics, Mathematics, Engineering). 5+ years of experience in data or business analysis, with a More ❯

econometric modelling—including Bayesian Marketing Mix Modelling (MMM), Multi-Touch Attribution (MTA), and data-driven optimization strategies. Key Responsibilities Lead and manage data workflows: data extraction, transformation, validation, and exploratory analysis to ensure modelling-readiness. Build and refine Bayesian MMM models that capture the drivers of key marketing and commercial KPIs. Use Python (and optionally R) to design More ❯

at scale. As an embedded Research Engineer you will collaborate with research scientists and software engineers to develop and run experiments, exploring ways to develop AI systems for code analysis and generation. The team is exploring many different foundational and applied challenges in software engineering and security, so you may take part in exploratory work validating early ideas … the knowledge and experience of the team with your own knowledge. Key responsibilities: Plan and perform rapid prototyping of ML-based techniques for automatically analyzing and generating code. Undertake exploratory analysis to inform experimentation and research directions. Make improvements to model architectures and training procedures of machine learning models used for code analysis. Implement tools, libraries and frameworks … to speed up and enable new research. Report and present software developments, experimental results and data analysis clearly and efficiently. Collaborate with internal and external domain experts. The role will suit candidates who enjoy working in a heavily experimental setting with large and noisy datasets and who wish to immerse themselves in innovative science, ML and AI research. About 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 ❯

of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By … strategic partner. Data Scientist, Product Analytics Responsibilities Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products Work as a key member of the product team … launches in partnership with Product, Engineering, and cross-functional teams Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics Minimum Qualifications Bachelor's degree in Mathematics, Statistics More ❯

team, you'll own the full lifecycle-from data extraction to generating insights that inform decisions. Your role will include designing tracking systems, creating visualisations, building dashboards, and conducting exploratory analyses. In this Role, you'll get to: Conduct integrated analyses of market competition, trends, and business performance to generate actionable insights that fuel growth. Identify key market trends … the ability to solve problems, uncover insights, and communicate them effectively to stakeholders. Strong SQL skills are a must, with proficiency in Tableau, Excel, BigQuery, and Hive for data analysis and visualization. Bachelor's degree or higher in a quantitative field (e.g., Statistics, Economics, Mathematics, Engineering). 5+ years of experience in data or business analysis, with a More ❯

partner closely with product researchers to 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 research You'll build and automate actionable models and dashboards You'll craft data stories and share your findings and recommendations across R&D and … solve problems and drive evidence-based decisions Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision Excellent communication skills (technical and non-technical) and a focus on driving impact Strong growth mindset and sense of ownership. … data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding to analysis and communication We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary More ❯

the market. Key Responsibilities: Design and implement machine learning models for both supervised (e.g., classification, regression) and unsupervised learning tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and deployment. Develop and fine-tune predictive algorithms such as: Classification: Logistic Regression, Decision Trees, Random Forests. Regression: Linear Models, Gradient Boosting, Neural Networks More ❯

the market. Key Responsibilities: Design and implement machine learning models for both supervised (e.g., classification, regression) and unsupervised learning tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and deployment. Develop and fine-tune predictive algorithms such as: Classification: Logistic Regression, Decision Trees, Random Forests. Regression: Linear Models, Gradient Boosting, Neural Networks More ❯

systems. You'll immediately provide value by: Model Development & Deployment: Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production. Data Analysis & Optimization: Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models. Pipeline Development & Enhancement: Design, build, and enhance efficient machine learning pipelines, ensuring More ❯

transformation. Preferred Skills : Familiarity with unsupervised learning methods such as K-means, DBSCAN, PCA, or autoencoders, and their application in credit use cases like behavioral segmentation, fraud detection, or exploratory analysis Experience working in a start-up or scale-up environment with fast decision-making cycles. Exposure to alternative data sources (e.g., device data, psychometric scoring) for credit 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 Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + equity Hybrid London HOW TO APPLY If interested in the role please send your CV to Louiscollins@harnham.com or via the Apply Link below 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 Strong stakeholder management skills THE BENEFITS Up to £85,000 + bonuses + equity Hybrid London HOW TO APPLY If interested in the role please send your CV to Louiscollins@harnham.com or via the Apply Link below 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 ❯

and efficiency Ensure data insights are clear and actionable for driving performance improvements Use data to provide strategic solutions that enhance how the business grows and operates 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 Louiscollins@harnham.com or via the Apply Link below Seniority level Mid-Senior level Employment type Full-time More ❯

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 … 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 ❯