14 of 14 Statistical Modelling Jobs in the City of London

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 ...

clear, compelling narratives and visualisations Identify opportunities to apply AI across products and services Model Development Design, build, and validate machine learning models Develop modelling inputs for AI pipelines and platforms Implement robust evaluation methods (A/B testing, causal analysis) Ensure models are explainable, ethical, and production-ready … stakeholders to embed data-driven decision-making What We’re Looking For: Essential: Strong experience with Python, SQL , and data analysis Solid background in statistical modelling & machine learning Proven experience building and deploying models end-to-end Strong problem-solving mindset with a pragmatic approach Postgraduate degree ...

commercial setting, with a proven track record of delivering commercial value through data science initiatives. Excellent Python and SQL skills. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Data engineering skills, with the ability to manipulate and process data ...

Analyst will work across EU Power and Gas markets and be heavily involved in pre-trade analytics. This includes Eliciting, analysing, and documenting complex modelling and forecasting requirements, including supply–demand balances, price forecasting, and scenario modelling across European and global energy markets. This Business Analyst role will … contract (Multi-year) As this Front Office Business Analyst you will also work with Energy analysts, Quants, data scientists & data engineers to ensure advanced modelling outputs are integrated into trading workflows, reporting and downstream processes. Skills required by this Front Office Business Analyst include: Experience in energy analytics ...

systems. Knowledge of energy trading, commodities, or financial markets. Understanding of curves, market data, pricing models, algo workflows, and analytics platforms. Quantitative skills in statistical modelling, machine learning, or computational analytics. Experience leading multi-country engineering organisations and large-scale platform transformations. Strong stakeholder management, prioritisation, and delivery ...

agents to predictive models embedded in automated workflows, your work will directly influence business operations at scale. You’ll operate at the intersection of modelling, engineering, and intelligent automation. 🌐 What You’ll Do 🧠 Model Development & AI Systems Design Design and train predictive models using AWS SageMaker Develop LLM-powered … Business Impact & Leadership Identify high-impact AI use cases Translate business problems into ML system designs Lead experimentation frameworks (A/B testing, uplift modelling) Mentor data scientists and collaborate closely with data engineering Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science Advanced Python ...

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 … 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 ...

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 ...

transformer‐based architectures and LLM‐driven systems. Build and assess agentic AI workflows , retrieval‐augmented pipelines, and advanced evaluation frameworks. Conduct rigorous model benchmarking, statistical analysis, and robustness testing to ensure scientific integrity. Contribute to the organisation’s broader AI capability growth, best practices, and technical governance. Essential Experience … LLMs, generative AI, and transformer models . Hands‐on experience with agentic workflows , modern AI toolchains, and evaluation methodologies. Deep understanding of machine learning, statistical modelling, and optimisation techniques. Strong programming skills (Python preferred) and experience with modern AI/ML frameworks. Proven experience delivering AI solutions ...

PySpark for large-scale data processing. · Knowledge of time-series forecasting, recommender systems, or NLP (non-GenAI). · Familiarity with classical optimization and statistical modeling techniques. Integration & Enterprise Systems · Experience integrating ML systems with enterprise platforms and workflows (e.g., triggering inference from business events or APIs). · Exposure ...

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. ...

deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable systems. Support cloud deployments … into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition ...

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 ...

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 … ideas, quantify outcomes, and guide decision‐making. Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well‐defined modelling tasks. Build end‐to‐end ML pipelines—from feature engineering and preprocessing to deployment‐ready model outputs. Essential skills/knowledge/experience: Hands ...