251 to 275 of 326 Statistical Modelling Jobs in the UK

collaborating with leading brands to access consumer behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret results … and budget optimization. Advanced Analytics: Explore machine learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills … Ability to explain complex concepts to non-technical stakeholders. Business Acumen: Ability to translate data insights into actionable strategies. Additional Skills: Experience with Marketing Mix Modelling (MMM) and campaign optimization techniques. If this sounds like the role for you, please apply through our retained recruiters, Datatech Analytics . More ❯

to advocate for high-quality data solutions. Mentoring junior team members. Requirements: Proven experience as a Data Scientist in a relevant field. Proficiency in data analysis, data mining, and statistical techniques. Attention to detail and ability to work with large datasets accurately. Proficiency in Python or R (5+ years' experience). Knowledge of statistical models such as linear More ❯

solutions. Mentor more junior members of the team You: Essential Criteria: Proven experience working as a Data Scientist in a relevant field Proficiency in data analysis, data mining, and statistical techniques. Detail-oriented and capable of working with large data sets and attention to accuracy and completeness. Proficiency utilising Python or R (5+ years' experience) Familiarity with conventional statistical More ❯

too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. What You will do: Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience. Use your knowledge and experience to help scale the impact of the Product Analytics … team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency. Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations. Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify opportunity areas, explore through POC to then drive to adoption. … similar quantitative role, with a proven track record of supporting and influencing a product organization. Technical & Modeling Expertise: Advanced proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., regression, classification, clustering). Product Acumen: Demonstrated ability to define, implement, and operationalize crucial More ❯

We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value opportunities in data-driven roles. … for individuals who have working experience in or are comfortable supporting (or willing to learn) in the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression More ❯

We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value opportunities in data-driven roles. … for individuals who have working experience in or are comfortable supporting (or willing to learn) in the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression More ❯

We are seeking an enthusiastic Teaching Assistant to help deliver our new Data Science Bootcamp, designed for individuals looking to enhance their skills in data analysis, machine learning, and statistical modeling. You will support the Lead Instructor, assist participants during live sessions, and help learners develop practical skills to secure new or higher-value opportunities in data-driven roles. … for individuals who have working experience in or are comfortable supporting (or willing to learn) in the following areas: Programming for Data Science (e.g., Python with Pandas, NumPy, R) Statistical Analysis and Hypothesis Testing Data Cleaning, Preprocessing, and Feature Engineering Data Visualization (e.g., Matplotlib, Seaborn, Plotly, Tableau) Machine Learning Fundamentals (e.g., Supervised, Unsupervised Learning) Machine Learning Algorithms (e.g., Regression More ❯

economics - Build and maintain dbt models in Snowflake that translate raw product telemetry into ARR, margin, and unit economics views. Forecast revenue & costs - Design Python driven Monte Carlo and statistical models to project usage, revenue, and gross margin under multiple scenarios. Run variance & root cause analyses - Explain plan vs actual deltas across revenue, COGS, and operating expense lines; surface … production grade models, testing, CI/CD) andSnowflake(performance tuning, RBAC, cost management). Advanced SQL + Python (pandas, scipy/statsmodels, or Prophet) for forecasting, scenario modeling, and statistical analysis. Strong grasp of SaaS/cloudunit economics-MRR/ARR, COGS allocation, gross margin, payback, LTV/CAC, cohort retention. Demonstrated success buildingusage based pricingandforecastingframeworks from raw event More ❯

science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data Science work within the Data More ❯

global HR business processes, including strategy development, service delivery, human capital management technologies, with ability to translate business needs into technology requirements Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modelling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions Experience working with enterprise HRIS platforms (Workday, SAP More ❯

alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new data … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

Machine Learning Scientist III - Experimentation Science Introduction to team: As a Machine Learning Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group's experimentation platform. Your work will ensure that every feature change on our website-from button colors to booking flows-is rigorously tested to … improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting-edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide. In … this role, you will: Lead the development and validation of advanced statistical methodologies to support Expedia Group's experimentation platform, ensuring robust and reliable A/B testing across the website's features and user experiences Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform's capabilities More ❯

their grit and innovation. Responsibilities Create data science solutions to address a variety of business challenges that can be translated to supervised and/or unsupervised learning problems using statistical and machine learning models Participate in monitoring and evaluation of performance of existing models Develop advanced quantitative models and concepts, such as LTV models, churn models, and recommendation engines … models using the risk research data Liabilities and probabilities calculations Requirements Ability to come up with sound research designs and make methodological choices to address business problems with appropriate statistical and machine learning models 3+ years of experience as a data scientist, quantitative researcher, quantitative analyst or another relevant role Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology … or Engineering Knowledge of probability theory, inferential statistics, machine learning, Bayesian statistics, linear algebra, and numerical methods Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc Experience using statistical and More ❯

better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate … decision-making processes, and improve client offerings. Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Collect, clean and preprocess large datasets More ❯

the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how … Scientists as Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. More ❯

company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit of rigorous … reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team. Your new role As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will: Lead the development of original statistical models tailored to complex genomic data Guide the integration … that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within a target identification or More ❯

company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit of rigorous … reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team. Your new role As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will: Lead the development of original statistical models tailored to complex genomic data Guide the integration … that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within a target identification or More ❯

company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit of rigorous … reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team. Your new role As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will: Lead the development of original statistical models tailored to complex genomic data Guide the integration … that can be fully home based from anywhere in the UK. What you'll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic/biological research, preferably within a target identification or More ❯

Business Intelligence Design, develop, and maintain dashboards and self-service reports to empower procurement teams with actionable insights. Manage data from multiple systems, ensuring integrity, consistency, and accessibility. Provide statistical analysis, modelling, and KPI reporting (weekly, monthly, and quarterly) to support decision-making. Drive the development of a data warehouse and ensure it remains accurate and up to More ❯

threat landscape. As a Senior Director of Software Engineering at JPMorgan Chase within the Cybersecurity and Tech Controls team, you will leverage your expertise in designing and developing sophisticated modelling software to enhance cyber and business resiliency efforts. Collaborating closely with a quantitative data scientist, you will spearhead the creation of a Bayesian inference-based modelling platform aimed … and lines of business Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives Design and develop scalable, production-grade software for risk modelling, inference engines, and simulation frameworks Collaborate with cybersecurity teams, risk analysts, data scientists and resiliency stakeholders to define model inputs, risk scenarios, and system architecture requirements Translate mathematical and … statistical models (e.g. Bayesian networks, probabilistic graphical models) into performant software modules. Develop data ingestion and transformation pipelines to source data from internal systems and threat intelligence sources Lead the architecture design for modular, explainable, and extensible risk modelling systems Ensure robustness, auditability, and version control of all models and underlying code per company and regulatory standards Build More ❯

both venture capital and strategic firms. Key Responsibilities: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilize econometric techniques like regression analysis, time series modeling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the … optimization, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Required Skills: Strong Econometrics Background: Expertise in statistical methods like linear regression, generalized linear models, panel data analysis, and time series forecasting. Data Science Proficiency: Proficient in programming languages like Python, R, and SQL including data manipulation … data imputation, statistical modeling, and visualization libraries. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modeling (MMM): Build More ❯

a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy … optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work More ❯

a scalable, tech-enabled platform that intercepts millions of unwanted items every year, transforming them from landfill-bound to re-loved by new owners. Responsibilities: Lead and deliver scalable statistical models and analyses that drive business decisions Own end-to-end delivery of data science projects, from identifying and integrating data sources to experimentation, model deployment, and pricing strategy … optimization Define and implement best practices in modelling, automation, and process improvements, ensuring the right tools and approaches are used for each problem. Effectively communicate complex insights to both technical and non-technical audiences, including senior executives, with a strong focus on commercial impact. Collaborate cross-functionally with product managers, engineers, and other stakeholders to align data science work More ❯

work alongside world-class traders, technologists, and researchers to develop cutting-edge machine learning strategies. Responsibilities: Conduct advanced research to develop predictive models and high-frequency trading strategies. Apply statistical analysis, machine learning techniques, and mathematical modeling to large, complex datasets. Collaborate closely with trading and technology teams to implement and optimize models in live trading environments. Continuously research … in a highly quantitative field (e.g., Mathematics, Physics, Computer Science, Engineering, Statistics). Strong programming skills in C++ (Python experience is a plus). Solid background in data analysis, statistical modeling, and numerical methods. Proven ability to work with large datasets and develop innovative solutions to complex problems. Demonstrated interest or experience in machine learning applied to real-world More ❯

time. Key Responsibilities: Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform … research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯