76 to 100 of 158 Statistical Modelling Jobs in the UK

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods More ❯

that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid-level data scientists … by measurable impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative More ❯

that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid-level data scientists … by measurable impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative More ❯

The capability to analyse large and complex datasets to extract actionable insights. Your analytical skills will be key in identifying trends, patterns, and anomalies that can inform business strategies. Statistical Modeling : The ability to applying statistical techniques to extract insights, build predictive models, interpret data, and support data driven decision making. Machine Learning and AI Model End to More ❯

culture. What You'll Need Proven expertise in data science with a focus on delivering business value. With a preference for experience in a consulting role. Strong foundation in statistical modelling, machine learning, and data mining. Proficiency in Python, R, or similar programming languages. Experience with cloud platforms (AWS, GCP, Azure) is a plus. A passion for solving More ❯

. Skills and Experience Proven experience in data science and analytics, ideally within government or regulated sectors. Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural More ❯

governments. Following a $100M+ Series B and full-stack insurance licensing, they are expanding their London presence. As a Senior Scientist, you’ll operate at the intersection of data, modelling, and market strategy, supporting bespoke coverage for weather-related events. You’ll collaborate with commercial, technical, and research teams to shape tailored, data-led insurance products for clients worldwide. … a data science, actuarial, or underwriting environment Strong quantitative background with a degree in maths, statistics, physics, or similar Proficiency in Python (e.g. pandas, scikit-learn) and comfort with statistical modelling Interest or prior experience in parametric insurance and/or climate risk modelling Track record of managing technical projects or small teams is a plus Strong More ❯

governments. Following a $100M+ Series B and full-stack insurance licensing, they are expanding their London presence. As a Senior Scientist, you’ll operate at the intersection of data, modelling, and market strategy, supporting bespoke coverage for weather-related events. You’ll collaborate with commercial, technical, and research teams to shape tailored, data-led insurance products for clients worldwide. … a data science, actuarial, or underwriting environment Strong quantitative background with a degree in maths, statistics, physics, or similar Proficiency in Python (e.g. pandas, scikit-learn) and comfort with statistical modelling Interest or prior experience in parametric insurance and/or climate risk modelling Track record of managing technical projects or small teams is a plus Strong More ❯

Senior Data Scientist (Marketing Mix Modelling (MMM), A/B Tests, Causal Inference) Employment Type: Contract (Outside IR35) Length: 12 months Contract Rate: 500 - 550 We’re looking for someone who enjoys solving complex problems at the intersection of data, marketing, and technology. You’ll play a key role in building models, experiments, and optimisation tools that help shape … the impact of marketing activities. Design experiments and frameworks to measure incremental value across channels. Build optimisation tools to guide budget allocation and improve return on investment. Apply advanced statistical and causal inference methods to separate organic performance from paid effects. Work with relational and graph-based data to uncover links between audiences, campaigns, and outcomes. What we’re … looking for Several years of experience in data science, econometrics, or marketing analytics. Strong knowledge of statistical modelling and causal inference techniques. Practical experience with optimisation methods and experimentation. Hands-on experience with marketing mix modelling and media attribution models. Proficiency in Python and common machine learning or statistical libraries. Familiarity with graph databases or similar More ❯

of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner More ❯

of experience in data analysis and ETL development. Strong proficiency in Teradata SQL and Informatica PowerCenter. Experience building and validating risk models using SAS and Python. Solid understanding of statistical techniques and risk modeling frameworks. Familiarity with data governance and compliance standards. Excellent problem-solving and communication skills. ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner More ❯

Solid analytical skills with proficiency in SQL and Python. Proven track record of collaborating with technical and data science teams. Experience with A/B testing, data visualization, and statistical modeling. BS/BA required, technical background strongly preferred, MBA or similar experience a strong plus Excellent communication and collaboration skills to facilitate working across different cultures and timezones More ❯

Designing and implementing complex quantitative models and sophisticated pattern-detection algorithms for use across all TH product offerings Architecting robust systems for quantitative analysis and prototyping proprietary mathematical/statistical models Leading technical research efforts and implementing production-ready solutions using in-house big data languages Optimising core algorithms for deep analysis of financial data, security pricing, and risk More ❯

support clients in interpreting analytical results. Build algorithms applicable across varied use cases and markets. Key Skills & Experience Strong experience interfacing directly with customers. Background in data science , including statistical modelling, machine learning, or applied analytics. Proficiency in Python for data analysis, modelling, and cloud application development. Exposure to automotive systems, electrification, or battery applications . Additional More ❯

writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non More ❯

a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments Excellent communication and collaboration skills, especially in client-facing settings Prior More ❯

a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments Excellent communication and collaboration skills, especially in client-facing settings Prior More ❯

FMCG. They pride ourselves on nurturing talent and fostering a culture of innovation and inclusion. As a Senior Consultant, you will: Lead projects to deliver actionable insights using advanced statistical modeling and research integration. Drive business development , contributing to proposals and pitches. Collaborate on product development and innovate new analytical approaches. Work with diverse datasets, ensuring quality control and More ❯

FMCG. They pride ourselves on nurturing talent and fostering a culture of innovation and inclusion. As a Senior Consultant, you will: Lead projects to deliver actionable insights using advanced statistical modeling and research integration. Drive business development , contributing to proposals and pitches. Collaborate on product development and innovate new analytical approaches. Work with diverse datasets, ensuring quality control and More ❯

Job Summary: We are looking for a detail-oriented and analytical Data Analyst to collect, process, and perform statistical analyses on large datasets. The ideal candidate has a strong foundation in data analytics, critical thinking skills, and the ability to transform data into actionable insights to support strategic decision-making. Key Responsibilities: Collect, clean, and validate data from multiple … field. Proficiency in data analysis tools and languages such as SQL, Excel, Python, or R. Experience with data visualization tools like Tableau, Power BI, or Looker. Strong understanding of statistical methods and data modelling techniques. Ability to work with large datasets and manage multiple tasks effectively. Strong communication skills with the ability to present complex information clearly. More ❯

acquisition, retention, and loyalty strategy, working cross-functionally with Marketing and Product teams to turn insight into commercial impact. Responsibilities include Owning customer analytics projects such as segmentation, churn modelling, LTV, and lifecycle optimisation Designing and analysing A/B and multivariate tests to shape acquisition and retention strategies Using SQL and dashboarding tools such as Tableau or Looker … environments Ability to translate analytical outputs into strategic recommendations and tell clear data stories Experience designing or analysing A/B testing and customer lifecycle analytics Python skills for statistical modelling or automation are an advantage This role offers a hybrid setup (typically two days per week in the London office), a base salary of approximately More ❯