126 to 150 of 735 Statistical Modelling Jobs in the UK

a weekly basis; communication skills are paramount for this role. You need not be an expert in every flavour of predictive analytics but must be able to demonstrate the statistical knowledge necessary to explain and implement common models/algorithms. The data science team works primarily by writing code, so yours should be good enough to lift our overall … wider Data Solutions team. Developing algorithms, and then maintaining, implementing, monitoring and versioning them on the appropriate platforms. With the data engineering team, optimally prepare data for analysis, including modelling, transforming, manipulating, cleansing and managing. Working collaboratively with the BI analysts and data engineers, you will integrate the data into the data exploration and analysis tools used within the … company, manipulating and transforming the data as required. Looking out for new technology, techniques and tools that will enable us to develop statistical models and machine learning algorithms more quickly and efficiently and sharing this internally and externally where appropriate. Troubleshooting when data issues arise, as the Data Solutions team provides business-critical information to our clients and internal More ❯

a weekly basis; communication skills are paramount for this role. You need not be an expert in every flavour of predictive analytics but must be able to demonstrate the statistical knowledge necessary to explain and implement common models/algorithms. The data science team works primarily by writing code, so yours should be good enough to lift our overall … wider Data Solutions team. Developing algorithms, and then maintaining, implementing, monitoring and versioning them on the appropriate platforms. With the data engineering team, optimally prepare data for analysis, including modelling, transforming, manipulating, cleansing and managing. Working collaboratively with the BI analysts and data engineers, you will integrate the data into the data exploration and analysis tools used within the … company, manipulating and transforming the data as required. Looking out for new technology, techniques and tools that will enable us to develop statistical models and machine learning algorithms more quickly and efficiently and sharing this internally and externally where appropriate. Troubleshooting when data issues arise, as the Data Solutions team provides business-critical information to our clients and internal More ❯

science models, optimizing and upgrading them as needed. Design scientific solutions to complex business challenges, working with diverse datasets (internal and third-party) and leveraging advanced machine learning or statistical modelling techniques. Collaborate with data scientists, engineers, and pricing teams to mature the organization's analytics practice. Write high-quality Python code following industry best practices for model … timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (eg, predictive modelling, machine learning, or data mining) to deliver actionable business insights. Exceptional written and verbal communication skills, with the ability to present findings clearly to diverse audiences. Willingness to adopt More ❯

Data analysts collect insights from data to help businesses make decisions with regards to Customer Knowledge and Operational Efficiency. The data analyst provides efficient data modeling tools and advanced statistical models. What You’ll Do: Data modeling: The data analyst supports the business analyst team and help them to structure the data sets with SQL Data analysis: The central … data to find trends or patterns. Through this interpretation process, data analysts can produce actionable insights to help organizations achieve their goals. He also supports business analyst with advanced statistical models. Data visualization: The data analyst turns their insights into visualizations that make abstract findings real for stakeholders. KPIs definition and implementation: The data analyst defines the performance KPIs … in Business, Data Analytics, Computer Science, Information Systems, or a related field Ability to communicate fluently in English Experience with SQL required Knowledge of data warehousing concepts and data modelling Experience of using Salesforce CRM system an advantage Good oral and written communication skills Intellectual curiosity and analytical skills Where You’ll Work: London, UK. The Eutelsat Group treats More ❯

cross-functional teams to design data-driven customer propositions and optimize the customer journey. Develop visualizations to communicate findings to stakeholders and monitor product performance to drive efficiencies. Conduct statistical analyses and A/B testing to evaluate the impact of new initiatives. Ensure data privacy, security, and compliance with UK regulations. Utilize advanced SQL and Python skills to … extract, clean, and analyse complex datasets, solving challenging problems with statistical and analytical approaches. Own data-driven projects from defining opportunities and challenges to setting objectives, methodologies, and presenting recommendations. Design and implement advanced predictive models and machine learning algorithms to predict customer contact, identify debt risk, and forecast consumption. This Role Will Be a Great Fit If Strong … energy industry experience (retail or wholesale) with deep knowledge of market dynamics, regulatory frameworks, and pricing structures. Proven track record in data science and advanced analytics, with experience in statistical modelling, forecasting, and optimization. Strong proficiency in Python, SQL, and cloud-based data platforms (mainly Google Cloud and AWS). Experience with machine learning frameworks (e.g., TensorFlow, Scikit More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled in statistical modelling and data visualization tools (e.g., Tableau, Seaborn, Matplotlib). Able to independently lead complex projects from design to deployment. Desirable: Experience with big data tools (Hadoop, Spark More ❯

understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice … control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience Exceptional written communications skills and effective presentation skills Willingness to learn More ❯

related field Ability to translate technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders In depth understanding of advanced statistical techniques and methodologies as well as simple linear regression analysis, multivariate regression analysis and model building Advanced in SQL ability to write complex queries from scratch from multiple tables … Fluency with Python (or R) – ability to run advanced statistical modelling Preferred Qualifications Consulting experience with a major consulting firm or advertising experience with a top advertiser (agency or client side) Experience with advertising publishers and marketing/creative agencies MBA, Master’s or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience More ❯

to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. More ❯

to deliver value-adding projects. Foster team growth and prepare members for career advancement. Analyse company performance metrics to guide and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning … solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics … years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record to take research More ❯

to deliver value-adding projects. Foster team growth and prepare members for career advancement. Analyse company performance metrics to guide and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning … solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics … years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record to take research More ❯

to deliver value-adding projects. Foster team growth and prepare members for career advancement. Analyse company performance metrics to guide and interpret models. Shape the R&D strategy and modelling roadmap. Assist in acquiring vendor data and develop arguments. Provide expert mentorship for ongoing and new pricing activities. Design experiments and multivariate testing for AI evaluation. Assess machine learning … solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data scientists and champion standard processes within the analytics … years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record to take research More ❯

understand large datasets Ability to identify trends & patterns within large datasets Advanced communication skills and stakeholder management skills including working with external clients Willingness to travel Desirable Experience in statistical modelling, and analysis using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering Experience in analysing data in payments platforms including SWIFT, ISO20022 Experience working with More ❯

candidate brings a proven ability to develop data-driven pricing models, proficiency in analytical tools like Excel, SQL, Python, PowerBI, and experience with ERP or pricing. Key skills include: Statistical modelling, forecasting, customer segmentation, and pricing strategy optimisation. Strong communication, collaboration, and problem-solving abilities are essential, along with sharp attention to detail and the capability to manage More ❯

Proficiency in programming languages such as Python, R, or Julia, and experience with ML frameworks like TensorFlow, PyTorch, or Keras Strong understanding of deep learning architectures, neural networks, and statistical modeling techniques Experience with cloud platforms (AWS, Azure, Google Cloud) and MLops tools for model deployment and management Excellent problem-solving skills with a strong ability to identify and … England, United Kingdom 4 days ago London, England, United Kingdom 4 days ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Strategy & Business Modelling Consultant London, England, United Kingdom 2 days ago Applied AI/ML Development and Governance Senior Associate London, England, United Kingdom 2 weeks ago London, England, United Kingdom More ❯

the scenario tuning exercise. KEY RESPONSIBILITIES Supporting the definition of Data Insights & Analytics to be leveraged and applied globally. Analysing structured data to identify potential financial crime risks using statistical modelling, segmentation strategies, optimisation algorithms and data mining analyses (regression, predictive). Using advanced data visualisation techniques to provide support to financial crimes investigations. Coordinating with global and 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 ❯

data analysis. Experience We Are Looking For Master's degree or above in mathematics, statistics, or computer science. 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in mobile market intelligence. Ability to write code that is ready for production (Python and … a project. Ability to come up with a rough project structure from scratch. Ability to critically analyse given data, ask probing questions, and perform own research. Substantial knowledge of statistical modeling techniques. Mastery of one or more statistical visualization or graphing toolkits such as Excel, Jupyter Notebooks, or Google Spreadsheets. #J-18808-Ljbffr More ❯

stakeholders and multiple partner teams across Amazon. As a Data Scientist, you will be responsible for modeling complex problems, discovering insights, and building risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency. You will leverage your expertise in Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLM) to develop … innovative solutions for Amazon's ISS team. You'll be responsible for modeling complex problems, building innovative algorithms, and discovering actionable insights through statistical models and visualization techniques to enhance operational efficiency in the e-commerce space. The role combines usage of latest AI technology with practical business applications, requiring someone passionate about transforming the way we interact with … complex analytical deep dives to unlock insights and build scalable solutions through Data Science to ensure security of Amazon's platform and transactions. Build Machine Learning and/or statistical models that evaluate the transaction legitimacy and track impact over time. Ensure data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation More ❯

mechanics. Support ad-hoc requests from stakeholders by conducting exploratory analyses to deepen insights into metrics and trends. Perform A/B testing and other experiments as needed. Define statistical and machine learning methods, establish modeling standards, and drive their development. Collaborate with cross-functional teams to design, implement, and test new and existing products. Create clear, effective deliverables … degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research, or a related quantitative field. Strong ability to manipulate, analyze, and interpret large datasets. In-depth understanding of statistical techniques and concepts (e.g., distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression, predictive modeling). Solid knowledge of machine learning techniques (e.g. … clustering, regression, decision trees) and their practical applications and limitations. Experience applying statistical and modeling techniques in real-world scenarios. Proficient in Python (for statistical and ML tools). Proficient in SQL and handling large-scale databases. Comfortable researching and adopting new methods, tools, and techniques. Essential Qualities: Highly accountable self-starter and quick learner, motivated to deliver More ❯

Depending on the role, you may be asked to complete a technical test or problem-solving exercise. Job Description We are seeking a highly qualified Data Scientist with strong statistical and mathematical expertise to drive advanced analytics projects. The ideal candidate will leverage R, Python, and cutting-edge methodologies to extract insights and deliver actionable recommendations that support strategic … decision-making across the organization. Responsibilities Develop, implement, and validate advanced statistical models and machine learning algorithms. Utilize R and Python for data exploration, analysis, and predictive modeling. Collaborate with data engineers and business stakeholders to ensure data readiness and alignment with business objectives. Interpret complex datasets to generate actionable insights and present findings to technical and non-technical … and best practices. Requirements PhD in Mathematics, Statistics, Computer Science, or a related quantitative field. Strong proficiency in R and Python for data analysis and modeling. Solid understanding of statistical methods, machine learning techniques, and data-driven problem-solving. Proven experience working with large datasets and applying advanced analytics in a business context. Fluent in English – both written and More ❯

do not contact us regarding this vacancy. Key Responsibilities: Data-Driven Campaign Management : • Assist in the design, launch, and optimisation of digital paid media campaigns across multiple platforms. • Use statistical and analytical skills to interpret campaign performance data, identify trends, and recommend actionable improvements. Audience Development & AI Integration: • Utilize advanced analytics and machine learning tools to segment and target … maximum ROI and efficiency. • Work closely with the digital marketing team to integrate analytical insights into creative campaign strategies. • Stay current with emerging digital marketing trends, AI innovations, and statistical techniques to continually enhance campaign performance. About you: You might have experience in marketing, digital media, or advertising —whether agency or client-side—and want to build stronger skills … data and analytics. • Recent graduate with a degree in Mathematics, Statistics, Data Science, Economics, or a related field. • Strong quantitative and analytical skills, with experience in data analysis and statistical modelling. • Familiarity with digital marketing platforms and analytics tools (e.g., Google Analytics, Excel, SQL) is a plus. • Excellent problem-solving abilities, with a knack for transforming complex data into More ❯

do not contact us regarding this vacancy. Key Responsibilities: Data-Driven Campaign Management : • Assist in the design, launch, and optimisation of digital paid media campaigns across multiple platforms. • Use statistical and analytical skills to interpret campaign performance data, identify trends, and recommend actionable improvements. Audience Development & AI Integration: • Utilize advanced analytics and machine learning tools to segment and target … maximum ROI and efficiency. • Work closely with the digital marketing team to integrate analytical insights into creative campaign strategies. • Stay current with emerging digital marketing trends, AI innovations, and statistical techniques to continually enhance campaign performance. About you: You might have experience in marketing, digital media, or advertising —whether agency or client-side—and want to build stronger skills … data and analytics. • Recent graduate with a degree in Mathematics, Statistics, Data Science, Economics, or a related field. • Strong quantitative and analytical skills, with experience in data analysis and statistical modelling. • Familiarity with digital marketing platforms and analytics tools (e.g., Google Analytics, Excel, SQL) is a plus. • Excellent problem-solving abilities, with a knack for transforming complex data into More ❯