1 to 25 of 39 Statistical Modelling Jobs in London

of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices, elevating … Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language More ❯

FOR? The Cloud and Data Engineering team is looking for data scientists who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed … data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape the our … scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis, mathematical modelling etc. Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity A track record of building relationships with More ❯

which has not previously been obtainable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. 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. Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact of different More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. 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 Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯

our global operating services and sits within the Research and Data Sciences Department.Within the Research Team the Data Scientist will use python to develop new analyses and methodologies for statistical modelling of audience measurements, TGI consumer data and market research in general. Transforming client requests into actionable items and best modelling choices is a crucial part of … and must report to different project managers.We are currently a hybrid working team, working both in our London offices and remotely.Job Role Requirements Develop new and enhance existing mathematical, statistical and machine learning algorithms. Investigate data for quality and completeness, identifying errors/anomalies, understanding how these would affect any modelling and controlling for these in development of … to different project managers.Role Requirements Advanced programming with Python and related data science libraries (pandas, numpy, scipy, etc) at least 2 years, possibly at production level Data science skills: statistical analyses, machine learning techniques. Previous experience in statistical matching and segmentation techniques is a great bonus Communication skills: capability to clearly communicate concepts to colleagues (and potentially clients More ❯

M.Sc. or Ph.D. in: Machine Learning, Statistics, Applied Mathematics, Computer Science, Engineering, etc. Experience using Python is a must Knowledge of cloud technologies important (agnostic) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using scalable machine learning to solve data-related problems is important A focus More ❯

SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive More ❯

SQL skills, with experience working with large structured and unstructured datasets. • Experience building interactive dashboards and reporting tools. • Familiarity with data engineering, ETL processes, and data pipelines. • Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow. • Excellent communication skills—able to explain complex analysis to non-technical stakeholders. • Proactive, inquisitive More ❯

for the team, working across risk assessment, data science, and research functions. Champion a culture of curiosity, experimentation, and continuous improvement. Technical Excellence & Delivery Oversee the use of advanced statistical modelling, AI, and machine learning methods (including NLP and LLMs) to deliver high-quality insights. Ensure outputs are defensible, high-quality, and accessible to both technical and non … social science, physics, or other relevant discipline. Proven experience managing a pipeline of analytical work and aligning outputs with organisational priorities. Expertise in AI/ML techniques, including predictive modelling, NLP, and large language models. Proficiency in Python, R, and relevant libraries for data analysis and modelling. Demonstrated ability to balance rigour with practical application, clearly articulating both insights More ❯

including: waiting lists, A&E, cancelled operations, SUS, workforce Understanding of data retrieval, data processing, information analysis and interpretation within acute hospitals Specialist knowledge of data analysis and visualisation, statistical modelling and quantitative service evaluation techniques Experience Essential Substantial experience in an information analysis role in an NHS or other healthcare information environment Substantial experience of working with More ❯

identify and monitor key drivers and characteristics of claims, feeding back into underwriting performance Operational analytics - work with the claims team to help optimise claims processes for example resource modelling and improvement of MI/KPI reporting Lead the development of the claims analytics framework for Markel International Develop a comprehensive understanding of local business lines, market practices, claims … meetings as the need arises. Our must-haves: Strong experience in translating complex business requirements into actionable analytical models that deliver insights Extensive experience in data science techniques including statistical modelling, machine learning algorithms, and AI. Comfortable with model development, validation, deployment, and performance monitoring. Advanced programming skills in Python or R and experience with SQL. Experience with More ❯

projects, collaborating closely with range of clients and stakeholders across the business, advising on best analytical approaches to guide your clients' decisions. With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. You will be able to showcase your expertise in … modelling market research survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis. Utilising your strong communication skills, you will also play a central role in coaching and training other talented team members and lead innovative analytical initiatives. Responsibilities Lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more. Showcase expertise in modelling More ❯

Python or R or other scripting language Experience in building quantitative solutions as a scientist or science manager Experience directly managing scientists or machine learning engineers Experience in applying statistical models for large-scale application and building automated analytical systems Preferred Qualifications Experience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) Experience More ❯

new data solutions, scale existing data applications, and bend Strider's data strategies to accomplish many goals within a growing startup. We're looking for someone with expertise in statistical modeling who is deeply curious and demonstrates a proven ability to build data solutions from scratch. What you will do: Dig into messy, unstructured data every day to answer 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 ❯

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 ❯

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 ❯

the PropTech industry, understanding of UK planning system, land registry & OS datasets Data visualisation & manipulation skills with a flexible approach to tooling Extensive experience with SQL NICE TO HAVE Statistical modelling, machine learning and predictive analysis experience Python or basic coding Strategic thinking around data product development and customer value creation OUR BENEFITS INCLUDE Remote-first Working Flexible 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 ❯