1 to 25 of 47 Statistical Modelling Jobs in London

seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities. This role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. … work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments. Key Responsibilities Partner with biostatisticians and cross-functional teams to enhance statistical modelling methodologies Design and develop scalable R-based modelling workflows and packages Implement ...

Instagram and X! Your New Role... We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio. This role sits at the intersection of statistical modelling, insight generation and commercial application. The successful candidate will be the analytical authority on how perception, brand and influence data are modelled, interpreted and translated into robust, defensible insight for clients and internal stakeholders. This is a hands-on senior analytics role, requiring deep expertise in regression ...

seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities. This role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. … work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments. Key Responsibilities Partner with biostatisticians and cross-functional teams to enhance statistical modelling methodologies Design and develop scalable R-based modelling workflows and packages Implement ...

intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior and mid‐level data scientists … 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 ...

multiple leading brands and charities helping to transition manual workflows into scalable, automated, production ready systems, building innovative tools which strengthen the marketing mix modelling and econometrics capabilities. What you'll do Maintain and enhance core Python modelling tools for Marketing Effectiveness Migrate manual workflows into automated production … peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability ...

transforms complex, cross‐channel data into strategic insights and measurable business impact. You’ll shape the technical direction for advanced analytics initiatives, driving sophisticated modelling, experimentation, and data infrastructure capabilities that support smarter decision‐making across the organization. Operating at the intersection of data science, marketing, and business strategy … experimentation frameworks, including geo‐based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership Develop sophisticated statistical models such as LTV prediction ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

community. There is only one Hotspur. Tottenham Hotspur. Role Purpose The Lead Data Scientist is responsible for leading the development and refinement of advanced statistical models and machine learning techniques, creating innovative metrics and diverse insights that enhance the analysis of player and team performance. They will be exploring … analysis, coaching, and the Academy to translate research into on-pitch impact in pursuit of the Clubs ambitious footballing vision. Key Responsibilities Develop advanced statistical and machine learning models to generate innovative metrics and insights from varied and complex data sources, enhancing the understanding of player and team performance. ...

today focuses on developing and deploying analytical tools and web-based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI-enabled ...

research challenges. The Role and Deliverables Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data. Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting. Translate scientific workflows into reproducible, automated analysis processes. Partner closely with laboratory-based … Experience Strong experience using Python for scientific or analytical software development. Proven capability analysing complex, structured experimental or assay-style datasets. Solid understanding of statistical modelling, curve fitting, and data quality control. Experience building end-to-end data or analysis pipelines with a focus on reproducibility. Comfortable using ...

databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

bring Strong track record delivering end-to-end data science solutions (preferably B2C) in cloud environments. Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation. Ability to quickly understand a business objective, problem solve to create an analytical ...

deployment.Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).Solid understanding of probability and statistical modeling to support robust model development and interpretation.Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable ...

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 appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

looking for a Data Scientist to design, build, and deploy production-ready statistical and machine learning models that power advanced analytics. You'll work across a multidisciplinary team to deliver scalable, interpretable solutions using Python and robust modelling techniques . Client Details Our client is a globally recognised … support strategic decision-making in complex and evolving markets. Description Develop and deploy production-level code and scalable data pipelines Build and optimise statistical and machine learning models for risk and analytics use cases Work extensively in Python to analyse large, complex datasets Extract insights from both structured ...

fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving ...

into actionable insights for customers. The team works collaboratively across data science, product, domain experts, and engineering. Its work combines artificial intelligence, machine learning, statistical modelling, and sector knowledge to build customer-facing products and internal platforms. SCOPE OF THE ROLE In this role as a Senior Data ...

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 appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

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 appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

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 appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Machine Learning Engineer to design, build and deploy advanced analytical solutions that drive business value. This role is ideal for someone who combines strong statistical and machine learning expertise with hands-on experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python … containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python, MLOps, model deployment Reasonable Adjustments: Respect and equality are core ...

Machine Learning Engineer to design, build and deploy advanced analytical solutions that drive business value. This role is ideal for someone who combines strong statistical and machine learning expertise with hands-on experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python … containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python, MLOps, model deployment Reasonable Adjustments: Respect and equality are core ...

Machine Learning Engineer to design, build and deploy advanced analytical solutions that drive business value. This role is ideal for someone who combines strong statistical and machine learning expertise with hands-on experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python … containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine learning algorithms and statistical modelling techniques Experience collaborating across data science and engineering teams Machine Learning Engineer, Python, MLOps, model deployment Reasonable Adjustments: Respect and equality are core ...

making Analyse large and complex datasets to uncover actionable insights Collaborate with analysts and engineers to deploy and productionise models Contribute to a greenfield modelling environment and help shape best practices Take ownership of projects with visibility across the wider business Your Skills and Experience Strong academic background … STEM subject such as Mathematics, Data Science, Computer Science, or similar Solid programming skills, ideally in Python Understanding of statistical modelling and machine learning fundamentals Hands-on experience through internships, placements, or personal projects Demonstrated curiosity and initiative, such as side projects or GitHub work Clear communication skills ...