9 of 9 Remote/Hybrid Statistical Modelling Jobs in London

counter fraud knowledge together. Actively work with key disciplines (e.g., Data Science/Data Engineering and Technology managers, domain specialists), functions to ensure modelling and products meet the needs of the Advanced Analytical team in terms of performance and delivery. Please see the Job Description About us We have … pipelines with governance and automation, in addition to assuring team members coding practices are supervised ensuring efficiency. oProven experience in fraud detection using statistical modelling in production environments and technologies within data science. oSignificant practical experience managing a data science/analytics team including all processes and practices ...

analytics and deep insights to power our products, optimise our processes, and uncover new opportunities. We are seeking an experienced Data Scientist with strong statistical expertise, analytical curiosity, and creative problem-solving skills to join our growing team. In this role, you will work closely with cross-functional teams … organisation. Objectives •Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation. •Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems. •Translate analytical findings into clear, actionable insights that drive strategic decisions. •Embed data science ...

predictive insights, automation, and data driven decision making across complex digital transformation programmes. With access to modern data platforms, high quality datasets, and advanced statistical and AI frameworks, you will work closely with engineering, product, and analytics teams to build solutions that are accurate, explainable, and scalable. This role … responsibilities : Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights. Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact. Design and run experiments (A/B tests, hypothesis tests, simulations ...

technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable). A deep ...

Senior Python Software Engineer is needed to join an international advanced analytics data company. Our client is a specialist technology business delivering sophisticated modelling and optimisation tools that help organisations make smarter commercial decisions. You’ll join a collaborative, international team where engineering excellence and mathematical rigour … work on complex, meaningful challenges at scale. The Senior Python Software Engineer will design and build high-performance analytics modules that power advanced modelling and optimisation capabilities. Role Highlights • Develop scalable Python modules for analytics and optimisation • Implement advanced algorithms for forecasting and modelling • Process large datasets ...

passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear … experience as a Data Scientist , plus a strong academic foundation Python Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such ...

with the department's web reporting needs, maintaining and improving the web data structure, providing recommendations to management to improve marketing campaign performance. Running statistical analytics and predictive models to identify new areas to optimize or target; work closely with marketing management to measure our testing programme. ...

Lead 🚨 I’m working with a global consultancy/data analytics organisation that urgently needs a Data Science Lead to drive advanced causal inference, statistical modeling, and experimentation strategies across complex datasets . This is a senior, hands-on role working in a fast-paced, highly collaborative environment. What … apply conformal prediction frameworks to provide reliable uncertainty estimates for machine learning models Identify and control for confounding variables in observational studies Create robust statistical methodologies for causal effect estimation Collaborate with cross-functional teams to translate business questions into rigorous experimental designs Present technical findings to stakeholders ...

data science, helping organisations understand what drives real-world healthcare behaviour (e.g. vaccine uptake, medication adherence, clinical trial participation) through large-scale datasets, modelling and insight products. This is a builder culture where curiosity, creativity and strong scientific thinking are genuinely valued. They’re hiring a Senior Behavioural Data … Lead R&D projects focused on drivers of US healthcare behaviour at scale Design and run behavioural measurement approaches (survey + digital signals) Build statistical and predictive models (regression, segmentation, behavioural modelling) Translate findings into benchmarks, insights and recommendations Partner with PM/DE to productise outputs into ...