21 of 21 Mathematical Modelling Jobs in London

research, applied mathematics, engineering and real-world applications. The Role We are seeking an Applied Scientist specialising in Machine Learning, Causal Inference and Mathematical Modelling to develop intelligent solutions for complex, dynamic systems. You will work across the full ML lifecycle, from research and problem formulation through … world problems. Design experiments and develop methodologies to identify causal relationships, test hypotheses and understand system behaviour. Translate complex and ambiguous problems into structured mathematical and computational models. Analyse time-series, observational and experimental data to identify patterns, dependencies and underlying mechanisms. Develop, evaluate and refine predictive and decision ...

Senior Data Scientist - Python/Machine Learning Permanent Location: UK - Remote Salary: £65,000 - £70,000 (+ benefits) Skills: Python, Machine Learning, Statistical Modelling, AWS, Data Engineering An exciting opportunity has arisen for an experienced Senior Data Scientist to join a growing international technology business developing innovative, AI-powered … software solutions. Working within a specialist Data & AI team, you'll combine advanced statistical modelling with hands-on Python software engineering, helping to develop, improve and maintain production systems used by customers worldwide. This is not a traditional reporting or analytics-focused Data Scientist position. We're looking ...

consultancy's growth, develop new client relationships and identify fresh opportunities to bring its expertise to market. The opportunity Tackle complex client challenges using mathematical modelling, machine learning and advanced analytics. Own the full analytical lifecycle, from exploratory analysis and model development through to testing, delivery and handover. ...

proteomics datasets. Identify innate immune correlates of protection through advanced bioinformatics analyses across clinical and laboratory-derived datasets. Work closely with AI and mathematical modelling teams to ensure bioinformatics outputs support downstream predictive modelling and therapeutic development. Collaborate with researchers across Imperial, UCL, industry partners and international ...

role To provide quantitative and analytical expertise to support trading strategies, risk management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities AI Engineering & Platform Development Design and develop shared AI platform capabilities used across ...

Data Science Consultant with a strong focus on the Energy & Utilities sectors. In this role, you will apply advanced analytics, machine learning, and mathematical modeling to help major energy providers, utility networks, and public sector organizations drive evidence based decision making. You will work within an agile, cross-disciplinary ...

statistical programming language, e.g. R or Python Proficiency with data visualization and reporting tools, e.g. Tableau or PowerBI Strong proficiency in data analysis or mathematical model development, with a strong understanding of statistics concepts such as multivariate testing Experience using code repositories, e.g. GitHub Experience with Amplitude a plus ...

collaborating effectively as part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages … Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets and performing detailed data analysis. Proficiency in one or more of Python, C#, C++ or Java ...

collaborating effectively as part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages … Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets and performing detailed data analysis. Proficiency in one or more of Python, C#, C++ or Java ...

working in close collaboration with domain experts. They must be able to understand the fundamentals of the power market and translate this into a mathematical model. This requires taking a pragmatic approach to model development, starting with a simple model, and iteratively adding complexity – driven by adding business value ...

view of what it means to solve customer problems, witha strong senseof urgency and an understanding of project delivery requirements Strong knowledge of mathematical modeling andoptimisation/optimizationsolution techniques Experience with a version control software such as Git Experience building applications to solve complex business problems for customers ...

Search Inc. is seeking an Applied Scientist specialising in Machine Learning, Causal Inference and Mathematical Modelling to develop intelligent solutions for complex, dynamic systems in London. The role spans research and practical engineering, with responsibilities across problem formulation, experimentation and deployment. You will work with engineers and domain ...

Cypress Labs in London is building a system that autonomously constructs, refines, and reasons with mathematical models of real businesses, to simulate, plan, decide, and act. You will write software across the entire stack, every day. You will work on infrastructure, data pipelines, integrations, agent orchestration, and domain modeling ...

potential of AI for professional engineers. We’re a compact, talent-dense technical team, with deep domain expertise in machine learning, formal verification and mathematical models of program semantics. Join us to develop the next frontier of formal reasoning and software engineering. Proof follows function. The Role ...

backed Column). We're working in person in London. The Role We're building a system that autonomously constructs, refines, and reasons with mathematical models of real businesses, in order to simulate, plan, decide, and act. You'll bring this system to life by writing software across ...

Datatech Analytics in London is seeking a Data Science Consultant with a strong focus on Energy & Utilities to apply advanced analytics, machine learning, and mathematical modeling to support energy providers, utility networks, and public sector bodies. You will work in an agile, cross-disciplinary team alongside software engineers ...

Prime Finance Quantitative Trading and Research (QTR) team in London develops and maintains advanced mathematical models, innovative methodologies, and robust infrastructure to support and grow the Prime Financial Services business. Our mission is to optimize decision-making, automate processes, and manage and hedge risk. Prime Financial Services provides financing … responsible for, the QTR group provides unique growth opportunities for you to develop your abilities and your career. Job responsibilities: Develop and implement mathematical, statistical, and machine learning models to optimize revenue and profitability for stock borrow-loan, cash, and synthetic financing books, as well as predictive analytics ...

Fixed Income Quantitative Trading & Research(QTR) team's mission is to develop and maintain the sophisticated mathematical models, cutting-edge methodologies and infrastructure used to value and hedge fixed income transactions — from vanilla flow products to complex exotic derivatives — as well as to improve the performance of algorithmic trading … looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed Income QTR team, you will provide advanced modelling solutions to the Fixed Income business. Your work will combine deep mathematical rigour — stochastic calculus, PDEs, numerical methods and the theory of the term structure ...

direct reports Your Profile: Essential: Experience working with technically complex, data-driven or analytical software products, with the ability to understand complex calculation and modelling requirements and translate them into clear, deliverable software capabilities. Candidates should be comfortable working with concepts such as statistical and mathematical models, curves … investment consulting teams within pensions or financial services, particularly in the development of actuarial, statistical or analytical tools and services. Familiarity with actuarial modelling concepts, curve construction, calculation engines and the use of data and assumptions within analytical models would be advantageous. What We Offer: Enjoy a competitive salary ...

have the freedom to formulate hypotheses, develop new approaches, run experiments and determine which ideas are worth pursuing. Your work involves: Developing statistical and mathematical models for complex predictive problems Applying machine learning and deep learning to large-scale datasets Investigating novel approaches to time-series prediction and representation … researcher or engineer coming from another research-intensive industry An exceptional competitive mathematician, programmer or scientist We're looking for evidence of: Exceptional mathematical and statistical problem-solving ability Strong programming skills Intellectual curiosity and an ability to conduct independent research The ability to move between theory, experimentation ...

green flexibility assets while ensuring our market‐leading platform remains exceptionally stable and performant. What is Optimisation in Flex? The Optimisation chapter is the mathematical and algorithmic engine of the KrakenFlex platform. While other chapters manage physical asset connectivity or ingest market signals, this domain is responsible … signals into optimised execution strategies. The defining challenge for this chapter is scaling computational performance alongside our rapid asset growth. Running complex, multi‐variable mathematical models in tight real‐time windows requires immense efficiency. The core tension lies in balancing the demand from data science and quantitative engineering ...