1 to 25 of 128 Remote/Hybrid Statistical Modelling Jobs in the UK

Solve the hard problems Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives. Iterate our modelling and optimisation capabilities, identifying the most appropriate techniques to enable continuous learning, expansion to novel mechanics, audiences and channels and the transition towards real-time decisioning. … projects where appropriate, leading junior colleagues and engaging with stakeholders. Embody and improve best practice Align to best practice across modelling, experimentation, deployment, and model lifecycle management. Coach through doing – pairing on code and demonstrating standards. Be an enthusiastic member of our community Become the recognised data science technical ...

too. Core skills we’re looking for to succeed in the role: Technical Pricing Expertise: Strong technical knowledge of motor insurance pricing, burn cost modelling, rating structures, underwriting risk and claims cost drivers, with experience of statistical modelling, predictive analytics or machine learning techniques within a general … frequency and severity models, loss ratio analysis, rating structure reviews and model enhancements. You’ll provide technical reviews and challenge to analytical outputs, ensuring modelling approaches, assumptions, data inputs and recommendations are appropriate, accurate and well documented. You’ll oversee the monitoring, maintenance and improvement of existing predictive models ...

digital solutions with patient care at its core . You will be self-motivated and be able to perform a variety of predefined statutory statistical returns, fulfilling ad-hoc requests for data analysis and the continued development of new information solutions using the Microsoft Business Intelligence Stack, SSRS … working with senior practitioners within the field of health informatics and through specialist technical training. Specialist advanced information analysis skills including forecasting and modelling techniques. Experience of using intermediate to advanced level of Structured Query Language (SQL) scripts, procedures and functions, gained through specialist training and practical experience. Detailed ...

team is responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market … cash equities. Conduct rigorous quantitative research on market microstructure, order‐book dynamics, venue analysis, and transaction cost analysis (TCA). Build and maintain statistical and machine learning models for short‐term price prediction, fill‐rate estimation, market‐impact modelling, and optimal order placement/scheduling. Collaborate with technology ...

Commercial Savings teams. You won’t just be crunching numbers in a silo. Reporting to the Head of Savings, you will use sophisticated statistical modelling to understand customer deposit behavior, build price elasticity models, and directly inform our pricing and brand strategies. We need a storyteller who codes … commercial teams, synthesising complex data into actionable insights for leadership. What do we need from you? Deep proficiency in Python or R for statistical modelling and data manipulation. Proven experience not just building models on a desktop, but deploying them into production environments using software best practices. ...

other teams across the business. Our Data Scientists are embedded within product and business areas across Monzo, where they use experimentation, causal inference, statistical modelling, machine learning and analytics to understand our customers, identify opportunities and influence the direction of our products and strategy. As a Data Science … help teams turn them into clear, actionable opportunities. Ensure teams are using the right analytical approaches, from experimentation and causal inference through to statistical modelling and machine learning. Help connect Data Science work to measurable customer, product and commercial outcomes. Work with Analytics Engineering, Machine Learning and other ...

will have experience working with complex health and care datasets and applying analytical approaches such as population segmentation, risk stratification, forecasting, evaluation and statistical analysis to support decision-making. You will be confident working with NHS, local authority and wider determinants datasets and have experience presenting findings to senior … analytics specialists, to ensure robust methodologies are applied to complex analytical questions. You should have experience using tools such as SQL, Power BI and statistical or analytical software including R, Python, Stata or equivalent. A postgraduate qualification, or equivalent experience, in a relevant quantitative discipline such as statistics, epidemiology ...

real business questions Provide technical leadership and mentoring to junior analysts working on perception and influence analytics Raise overall analytical capability through coaching on statistical thinking, modelling techniques, and interpretation Требования: Strong experience in advanced analytics, statistical modelling, or quantitative research roles Deep hands-on expertise … regression analysis and multivariate statistical techniques Strong working knowledge of R and/or Python for statistical analysis Experience working with perception, attitudinal, or brand-related data Experience in media, marketing effectiveness, brand measurement, or advertising analytics Nice to have: Familiarity with index construction or composite metrics Условия ...

statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine learning, time‐series forecasting, demand prediction, optimisation, inventory management Experience with dynamic pricing, stochastic processes, or Bayesian inference is a plus Preferred Experience Background in pricing, forecasting or optimisation roles within airlines, hospitality, car rentals, e‐commerce, or similar dynamic pricing industries Familiarity with data engineering ...

statistics, data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine learning, time-series forecasting, demand prediction, optimisation, inventory management Experience with dynamic pricing, stochastic processes, or Bayesian inference is a plus Preferred Experience Background in pricing, forecasting or optimisation roles within airlines, hospitality, car rentals, e-commerce, or similar dynamic pricing industries Familiarity with data engineering ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains, you'll combine statistical modelling, predictive analytics and modern machine learning techniques to generate actionable insights and support decision making at scale. You'll work closely with … providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding of relevant datasets, apply robust statistical methods and model governance, and communicate findings clearly so stakeholders can act with confidence. You’ll also contribute to continuous improvement as technology, methods ...

including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix management operation, responsible for operating a strong model risk management framework that ensures models are a trusted asset … implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities You will operationalise the model risk management framework in Asset Risk, ensuring model health, reporting, processing ...

have an opportunity for a Data Analyst/Scientist or Senior Data Analyst/Scientist to play a key role in using data, analytics, statistical methods and data science to generate insight, support decision‐making and improve our engineering services. This is a broad analytical role. You will work … across the full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine‐learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical ...

have an opportunity for a Data Analyst/Scientist or Senior Data Analyst/Scientist to play a key role in using data, analytics, statistical methods and data science to generate insight, support decision‐making and improve our engineering services. This is a broad analytical role. You will work … across the full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine‐learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical ...

have an opportunity for a Data Analyst/Scientist or Senior Data Analyst/Scientist to play a key role in using data, analytics, statistical methods and data science to generate insight, support decision-making and improve our engineering services. This is a broad analytical role. You will work … across the full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client-ready insights/tools. This is a role for someone who enjoys variety and has a critical ...

have an opportunity for a Data Analyst/Scientist or Senior Data Analyst/Scientist to play a key role in using data, analytics, statistical methods and data science to generate insight, support decision-making and improve our engineering services. This is a broad analytical role. You will work … across the full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client-ready insights/tools. This is a role for someone who enjoys variety and has a critical ...

integrity, meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About The Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across Oritain … move the business forward, Oritain is the right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards ...

questions. Design and deliver analytical products that directly shape football decisions. Support our R&D team in the design and implementation of world-leading statistical and machine learning models, drawing insight from football datasets including event data, optical and broadcast tracking data, and GPS/performance data. Effectively utilise … coding agents and tooling to accelerate the speed of development. Maintain high standards of statistical rigour, ensuring any findings that are communicated to stakeholders have been appropriately validated. Provide technical guidance and support to stakeholders to enhance their understanding and utilisation of data science tools. Work closely with ...

integrity, meeting regulatory demands, and reducing the risk of fraud and unethical sourcing - creating real change in our world. About the Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across Oritain … move the business forward, Oritain is the right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards ...

have an opportunity for a Data Analyst/Scientist or Senior Data Analyst/Scientist to play a key role in using data, analytics, statistical methods and data science to generate insight, support decision-making and improve our engineering services. This is a broad analytical role. You will work … across the full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client‐ready insights/tools. This is a role for someone who enjoys variety and has a critical ...

feel valued and respected for their unique contributions. Proven experience in data engineering and data science roles. Strong understanding of machine learning algorithms and statistical modeling techniques. Experience with large and complex datasets. Proficiency in programming languages such as Python, R, or Java. Experience with data visualization tools such ...

with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine learning Experience leading or mentoring analysts Excellent stakeholder engagement and communication skills Why Join Foodbuy? Be part ...

similar analytics professional. Advanced SQL skills and experience working with cloud-based data warehouse environments. Strong Python or R capabilities for data analysis, statistical modelling, and machine learning. Experience building predictive models and applying analytical techniques to solve business problems. Understanding of customer journey analysis, funnel optimisation, retention ...

Microsoft Excel. An inquisitive mind and an ability to quickly understand complex information and apply analytical thinking and problem-solving skills. Experience applying statistical methods, developing mathematical models, and using large language models (LLMs) and other AI-assisted tools to support data analysis, insight generation, and decision-making. Strong ...