351 to 375 of 460 Statistical Modelling Jobs in the UK

Credit Risk Analyst - Modelling & Scorecards One of the world most respected financial services companies (operates globally) requires an Credit Risk Analyst Consultant. As an Analytics Consultant you will play a pivotal role in Client Analytics within Data and Analytics. You will lead analytical and consultancy projects, including the design … development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue. What You'll Do Our consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging ...

cost drivers to identify trends, risks and opportunities. Develop repeatable frameworks for measuring business impact and value creation. Apply advanced analytics, forecasting and predictive modelling techniques to optimise performance. Evaluate the effectiveness of business initiatives using robust statistical methods. Translate complex data into clear, actionable recommendations for senior … analytical experience. Strong commercial and analytical problem-solving skills. Proficiency in SQL, Python, SAS, R, or similar analytical programming languages. Experience building and applying statistical models/AI to solve business problems. Advanced Excel and PowerPoint capabilities. Excellent stakeholder management and communication skills. Experience leading complex analytical projects involving ...

Optimisation” by Forrester Wave 2023. Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity … econometrics using data science and AI for business problems. Understand clients’ business context and collaborate in a fast‐paced environment. Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end‐to‐end, from gathering and analysing data to building statistical machine learning models and delivering presentations. Work ...

Optimisation” by Forrester Wave 2023. Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private equity … econometrics using data science and AI for business problems. Understand clients’ business context and collaborate in a fast-paced environment. Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end-to-end, from gathering and analysing data to building statistical machine learning models and delivering presentations. Work ...

software. Guide, support, mentor and develop the growing team of predictive modelers and data scientists. Desired Skills/ExperienceAbility to design, build and implement statistical models, with an understanding of a range of analytical techniques such as predictive modelling, NLP and data mining. Data manipulation and analytical skills ...

visualise data to identify patterns, trends and opportunities. Develop data science outputs such as models, reports, dashboards, forecasts or decision-support tools. Apply appropriate statistical, machine learning or analytical techniques to solve business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data … clearly and responsibly. Consider data ethics, privacy and security throughout the data science life cycle. Essential skills and experience Experience applying data science or statistical methods to real-world problems. Good knowledge of Python, R or similar programming languages for analysis and modelling. Understanding of machine learning, statistical ...

negotiating buy‐in with various VPs, ensuring consistent follow‐through and concrete impact within agreed timelines. What you'll need to succeed Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis, data modelling ...

robust, actionable, and decision-oriented. Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required. Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded … tooling to improve efficiency, consistency, and speed of decision-making across teams. Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation. Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team ...

Pricing Analyst to join their Pricing and Proposition team within the Telematics Pricing function. The role will use behavioural data, advanced analytics and predictive modelling to shape pricing strategy, improve risk selection and drive portfolio performance. You will work closely with pricing and telematics specialists, using your technical expertise … Actuarial Science or a related quantitative discipline. Strong experience using Python and SQL with high-volume datasets in cloud-based analytics environments. Experience developing statistical and predictive models using GBMs, GLMs or similar techniques. Experience building and deploying predictive models using Python. RADAR experience is highly desirable. Good understanding ...

hiring a Data Scientist II on our Soccer team to develop the statistical and machine learning models our partner clubs use for player recruitment. I'm Jacob Mortensen, Senior Manager, Data Science at Teamworks. Our team primarily focuses on building models using both player tracking data and event data … deployment and improvement. That added capacity will help us move important initiatives forward while keeping our existing models accurate and reliable. The Role Develop statistical and machine learning models that help professional soccer clubs identify undervalued players and strong recruitment targets Use player tracking data to build spatio-temporal ...

global audiobooks strategy and improve the experience for listeners, creators, publishers, and authors. In this role, you will use data analysis, experimentation, and statistical modeling to evaluate some of the most important opportunities facing our audiobooks business. Your work will span content and catalog strategy, discovery and recommendations, subscriber … similarly complex business. You are fluent in SQL and proficient in Python, R, or another programming language, with a strong grasp of statistical methods, experimentation, and causal inference. You combine analytical rigor with strong business judgment and can cleanly extract the “so what” from complex analysis. You are comfortable ...

sources. Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products. Design and oversee statistical analysis, modelling, and time series research to validate potential data assets. Work closely with stakeholders across data, partnerships, and technology teams to develop … efficiency and quality. Your Skills & Experience Strong commercial experience in data science, statistics, quantitative research, or a related field. Python skills, with experience applying statistical analysis and time series techniques to complex datasets. Strong understanding of data quality assessment, feature engineering, and modelling. Strong communication skills with the ability ...

activities. These span a wide range of areas including electronic lab notebook templatization and integrations, data capture and storage, results processing, dashboarding, and statistical analysis activities. They will also share responsibility with the wider Data Science team for providing technical support to scientists across these areas. Job Description Major … data accessibility across the R&D organisation. Perform data mining, data exploration and feature generation to bring proof of concept AI/ML/statistical/mechanistic/hybrid modelling in collaboration with data scientists and bench scientists. Serve as part of the technical support team for software ...

contractor to help design, build and deliver capabilities within a complex Financial Services environment. The role combines full stack engineering, data-driven analysis and statistical modelling to turn pricing insights into scalable, reliable solutions that support effective business decision-making click apply for full job details ...

Somerset Bridge is seeking a Pricing Analyst to join our Retail Pricing team in Bristol. The role uses data analysis, statistical modelling and pricing insights to develop competitive, fair and profitable pricing strategies for motor insurance products. You will collaborate with Pricing Actuaries, Underwriting and IT to implement ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and perf click apply for full job details ...

will take responsibility for optimizing NLP algorithms and exploring new applications in gaming using deep learning techniques. Candidates should have a strong understanding of statistical models, familiarity with large language models, and experience with model deployment tools like Hugging Face Transformers and LangChain. #J-18808-Ljbffr ...

Candidates should hold an advanced degree and have over 5 years of experience in quantitative research related to trading algorithms. The role involves building statistical models, collaborating with technology teams, and analyzing market data to drive improvements in execution quality. Strong communication skills and a collaborative mindset are essential. ...

consultancy projects for some of the UK's largest lenders and financial services organisations. You will build credit scorecards, develop lending strategies and create statistical models using Credit Reference Agency data to help decisions. This is a highly commercial, client-facing role where you'll own analytics projects from ...

latest developments in academia and industry and quickly apply findings in your work. Qualifications Familiar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects. Proficient in at least one programming language, familiar with basic data structures ...

complex, regulated environments; experience in Financial Crime or related risk domains is advantageous. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain … technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work ...

annual Apple App Store Awards. About the role This role will report to the Commercial Planning Manager and support commercial planning, forecasting, latest estimates, statistical analysis and performance modelling. You'll help develop the analytical insight that underpins commercial decisions by combining business understanding with statistical techniques, causal … need someone who enjoys investigating why performance changes, is naturally curious about causal relationships rather than simply reporting numbers, and is interested in applying statistical techniques and modern AI tools to improve analysis and forecasting. This is a great role for someone who is already strong in commercial analysis ...

making a meaningful difference for our customers every day. Role Purpose: The Senior Data Scientist will lead high-impact strategic projects across Market Modelling from discovery to implementation. The role will provide specialist resource across the Market Pricing teams, accelerating delivery and addressing priority challenges. The role will build … implement market models that improve price competitiveness, profitability and growth. This is a senior individual contributor role with ownership of complex modelling work and its delivery into live pricing. A key part of this role will be autonomous project management. Alongside this will be coaching and mentorship of junior ...

making a meaningful difference for our customers every day. Role Purpose The Senior Data Scientist will lead high-impact strategic projects across Market Modelling from discovery to implementation. The role will provide specialist resource across the Market Pricing teams, accelerating delivery and addressing priority challenges. The role will build … implement market models that improve price competitiveness, profitability and growth. This is a senior individual contributor role with ownership of complex modelling work and its delivery into live pricing. A key part of this role will be autonomous project management. Alongside this will be coaching and mentorship of junior ...

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 … Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine learning, operations research, or revenue/yield management. Proficiency in Python for data analysis, modelling ...