1 to 25 of 61 Statistical Modelling Jobs in London

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a stable … develop, control, and produce models in a rapidly changing environment while being accountable for assuring and quantifying the value of all analytical enquiry and modelling within the programme of work. They'll play a critical role in managing a team, driving strategic planning, identifying opportunities to leverage data, defining … including techniques used within the data science framework and delivery of knowledge at all levels within the organisations. Quantify value of analytical enquiry and modelling to demonstrate RoI. Manage a team as described in the Structure. Working closely with the wider operational management, analytics, advanced analytics, and IT teams more »

a key role in planning and delivering models and analysis that underpin the prices that go to market. You will need to understand both statistical modelling methods and machine learning techniques. Skills & experience needed: Solid knowledge of relevant statistical modelling methods – in particular GLMs Knowledge of more »

to data enabled market insights and contribute to our future growth of the UK business, gaining hands-on experience in data analysis, machine learning, statistical modelling, and data visualization. This apprenticeship offers a unique opportunity to combine academic learning with practical work experience, preparing you for a rewarding … Merit Strong analytical skills with a passion for working with data. Basic knowledge of programming languages such as Python, R, or SQL. Familiarity with statistical concepts and techniques. Excellent communication and interpersonal skills. Ability to work independently and collaboratively in a fast-paced environment. Eagerness to learn and adapt more »

Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. in SQL. Ability to write more »

and personas based on behavioural, transactional, and demographic data.Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty.Requirements1-3 years experience in data analysis, statistical modelling, and machine learning techniques.Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure.Strong … actionable insights for non-technical stakeholders.Prior experience in the fashion industry or luxury retail sector is a plus.Inquisitive and curious with a passion for statistical modelling.Details12-month FTCStart date: ASAPHybrid working - 3 days in central London officeSalary more »

on behavioural, transactional, and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft … for non-technical stakeholders. Prior experience in the fashion industry or luxury retail sector is a plus. Inquisitive and curious with a passion for statistical modelling. Details 12-month FTC Start date: ASAP Hybrid working - 3 days in central London office Salary more »

to improve customer engagement, satisfaction, and loyalty. • Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machine learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in more »

innovative models, as well as enhancing existing ones. Implement and enhance existing data pipelines required by our various models/workflows. Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books. Devise solutions for systematic book more »

innovative models, as well as enhancing existing ones. Implement and enhance existing data pipelines required by our various models/workflows. Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books. Devise solutions for systematic book more »

as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious mindset and ambition to add value more »

understanding of Market Risk domain including processes, methodology, market & reference data and governance & controls Ability to work with data, analyze complex information, and use statistical and mathematical models to assess risk Understanding of regulatory requirements and standards related to risk management is important, including Basel III, Dodd-Frank, and more »

Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills more »

tools for investment teams. Required Skills: Advanced knowledge and experience with Python (Pandas, NumPy + more) and SQL Strong background in advanced analytics and statistical modelling Strong analytical and quantitative skills Experience working with large, unstructured data sets Prior experience in the investment management industry, with good knowledge more »

Strong numerical proficiency and a detail-oriented approach to problem-solving. Expertise in Excel & SQL, with a bonus for experience in Python, R, or statistical modeling tools. Why Join Us: Four-day work week with no reduction in salary. Flexible hours and the option to work remotely multiple days more »

and foresight. Supporting the operational and strategic decision-making process through the provision of focused business intelligence, including, providing leadership on capacity planning and modelling to support service developments and performance objectives. Working pro-actively to ensure the Trust is aware of the impact on information through business developments … systems, policies, and software. Act as a specialist resource to deliver analysis using business intelligence tools (primarily QlikView and Qlik Sense) and industry-recognised statistical techniques (e.g. statistical process control, bed modelling, and demand and capacity analysis) in order to interpret data, create intelligent reports and provide … information across a range of operational forums, escalating areas of concern through appropriate management structures. Coordinating/Developing advanced analytics capabilities/solutions, e.g. statistical and modelling work, enabling business intelligence analysis across services and contributing to the development of the business intelligence services. Direct and lead on more »

presenting to the Trading Forum and contribute to delivering agreed outcomes. to the delivery of technical projects to improve underwriting performance against common technical modelling standards and adherence to data controls. review pricing and underwriting monitors, ensuring key points are escalated. What you will need: Analysis experience. in working … Emblem understanding of the various elements of the price insurance markets set, and how they can optimise this to deliver business targets of relevant statistical modelling methods and machine learning techniques you will hold a highly numerate degree and have experience of applying your knowledge in a business more »

via CI/CD platforms (e.g. Github Actions, Jenkins) Experience in Proficiency in working with distributed computing frameworks, such as Apache Spark and data modelling, database systems, and SQL optimisation techniques Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated services (e.g., S3, Redshift, BigQuery) Other things … advertising industry Familiar with: Data design techniques for classification and regression as well as knowledge of A/B testing, experimental design, and general statistical modelling Architecture disciplines such as Data Mesh Architecture, Data Architecture, BI Architecture and Enterprise Architecture Data governance, data privacy, and security principles. Tools more »

or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under pressure Experience with C++ is a plus Ability to adapt more »

decisions using your analysis, including helping to quantify the impact of new game features and taking a deep dive into user behaviour through developed statistical models. You will aid the marketing team optimise their strategies and work closely with developers to identify new opportunities across the studio's game more »

part of a high-performing and collaborative team. Responsibilities: Conduct in-depth research and analysis to develop and optimize quantitative trading strategies. Utilize advanced statistical and mathematical models to identify market patterns and trends. Collaborate with cross-functional teams to implement and monitor trading strategies. Work closely with technology more »

for different applications, automating cloud operations and cloud deployments Assume responsibility for the architecture of solutions that leverage advanced analytics, data pipelines, web portals, statistical models, Machine Learning and AI, through our technology platform Draw on the strength and experience of a wider team of Solution Architects across Risk more »

data analytics and economic experience to design and execute pricing strategies Work closely with technical teams to build and fine-tune pricing algorithms Use statistical modelling and machine learning to create predictive pricing models Conduct thorough cost-benefit analyses, shaping pricing decisions to maximise overall value for the … both strategic and financially sound What we're looking for: Proven track record in value based and dynamic pricing strategies, data analytics, and economic modelling Deep understanding of economic theory and its practical application in pricing decisions Experience in creating and implementing price recommendation algorithms Good interpersonal and time more »

Development/Research experience is ideal Proficient programming skills (Ideally Python or Rust) Strong mathematical background Experience with data science, creating features and improving statistical models. BS or Masters in Computer Science, Engineering, or related quantitative discipline To discuss the role in confidence, please reach out to Rhys at more »

into execution quality. Responsibilities: Design, develop, and maintain TCA analytics and tools to assess and optimize trade execution performance across various asset classes. Implement statistical models and algorithms to analyze transaction costs, market impact, and liquidity dynamics. Collaborate with traders and quantitative researchers to identify areas for improvement in more »

Energy start up as a member of the core planning team, supporting the growth of the business on a global scale. Responsibilities - Consultant Financial Modelling : Develop and maintain financial models to evaluate the viability and profitability of proposed projects. This includes revenue projections, cost structures and investment returns to … Consultant 2-4 Years of Analyst Experience : Demonstrated experience as an analyst in an investment banking environment, with a strong understanding of financial analysis, modelling, and decision-making processes. Experience in analysing investment opportunities, evaluating financial performance, and conducting market research will be highly beneficial. Relevant Qualifications: Possession of … in building advanced predictive models is desirable, as it enables you to forecast future trends, assess risk, and optimise decision-making processes. Experience with statistical modelling techniques and predictive analytics tools will be advantageous. Permanent Opportunity. If you are interested in this position, please reach out through the more »