1 to 25 of 469 Statistical Modelling Jobs in the UK

Experience Level:** SeniorAre you passionate about developing innovative bioinformatics solutions that advance precision medicine? Do you enjoy solving complex scientific challenges through algorithm development, statistical modelling, and software engineering? Do you want to work alongside world-class scientists and engineers on technologies that have a meaningful impact … within the DRAGEN Array team.## **Position Summary**The DRAGEN Array team at Illumina is seeking a bioinformatics professional to drive innovation across algorithm development, statistical modelling, and production-quality software engineering for genotyping and genetics products. This role supports the development of new solutions that advance translational research ...

discovery, chemistry, biomedical research, clinical evidence, safety, and competitive intelligence. The team applies a broad range of data science methods, including traditional machine learning, statistical modelling, natural language processing, neural networks, information retrieval, knowledge graphs, semantic enrichment, and generative AI. These capabilities support products such as PharmaPendium, Reaxys … experimentation, model evaluation, data quality, and production collaboration. Data science deliveryLead the application of data science methods across a broad portfolio, including machine learning, statistical modelling, NLP, neural networks, search, recommendation, knowledge graphs, and generative AI.Oversee the development and improvement of models and pipelines for tasks such ...

Full-time Experience Level: Senior Position Summary The DRAGEN Array team at Illumina is seeking a bioinformatics professional to drive innovation across algorithm development, statistical modelling, and production-quality software engineering for genotyping and genetics products. This role supports the development of new solutions that advance translational research … Lead the design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications. Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation). Design and develop production‐grade software ...

models and delivering value to ourMembersthrough innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancingClarusONE’sanalytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data science solutions that inform … embed advanced analytics into technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis-driven ...

analytical workflows. The successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing … test data through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics and machine learning. The successful candidate will play a leading role in defining and delivering this capability roadmap. In summary, the key deliverables for this ...

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 ...

support business decision‐making. Insurance industry experience is highly advantageous but not essential. Analytical & Technical Expertise – Strong analytical capability with proven experience in statistical modelling skills and data interpretation. Technical Skills – Proficiency in Python for data analysis, modelling and machine learning. Machine Learning – Experience building and evaluating … communication skills. Organisation & Time Management – Excellent organisational and time‐management skills. Experience & Knowledge Proven experience in data science and data analysis. Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis. Knowledge of data platforms ...

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 ...

Viator's most complex questions, where standard experimentation is insufficient and the method has to be designed rather than selected. Develop and validate the statistical methods the organisation relies on, including simulation-based verification that they behave correctly before teams depend on them. Act as the final technical authority … Experience: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organisation. Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. ...

Leading high-priority data science projects that support preclinical and early development decision-making. Developing and implementing analytical and agenticAI approaches across causal inference, statistical modelling, machine learning, deep learning and multimodal data analysis. Translating biological, clinical and portfolio questions into executable analysis plans and actionable evidence. Driving … with: A PhD or equivalent research experience in data science, statistics, mathematics, physics, computer science, computational biology or another quantitative discipline. Strong expertise in statistical modelling, machine learning, AI or a related discipline, with demonstrated ability to select and evaluate appropriate methodologies. Significant experience working with longitudinal patient ...

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they ...

Senior Director, Statistical Innovation**Société:**Ipsen Biopharm Ltd**A propos d'Ipsen:**Ipsen est un groupe biopharmaceutique mondial de taille moyenne, spécialisé dans les médicaments transformateurs dans trois aires thérapeutiques : l'oncologie, les maladies rares et les neurosciences. Forts de près de 100 ans d'expérience en développement, avec …/www.ipsen.com** et suivez nos dernières actualités sur **LinkedIn** et **Instagram**.**Description de l'emploi :**WHAT - Summary & Purpose of the PositionThe Senior Director, Statistical Innovation leads innovative methodology, advanced modelling, and data-driven decision support across Ipsen’s R&D portfolio, strengthening development strategy through design, simulation ...

wider business functions to drive performance against strategic targets Identifying opportunities to enhance existing datasets and improve data quality Delivering advanced analytical projects using statistical modelling techniques Supporting process optimisation through data-led decision making Defining and delivering analytics strategy within your area of expertise Promoting best practices … analytics initiatives Your Skills & Experience Strong commercial experience within marketing or customer analytics Advanced SQL skills and experience with Python or R Expertise in statistical modelling techniques such as regression analysis, clustering, and predictive modelling Experience leading analytical projects from concept through to implementation Ability to communicate ...

deployed as reliable, scalable products not limited to experimentation but extending through to production delivery and operational use. Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains. Translate complex scientific and business problems into well-scoped ML solutions … experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments. Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques with a track record of applying these to build production-grade solutions. Applied knowledge of data science and ML tools ...

deployed as reliable, scalable products not limited to experimentation but extending through to production delivery and operational use. Build impactful ML products demonstrating statistical modelling, deep learning, and AI techniques across operational, scientific, and R&D domains. Translate complex scientific and business problems into well-scoped ML solutions … experience designing, prototyping, productionizing, maintaining, and scaling ML/data science products in complex environments. Strong and demonstrable expertise in machine learning algorithms, statistical modelling, and optimisation techniques with a track record of applying these to build production-grade solutions. Applied knowledge of data science and ML tools ...

Title: Senior Director, Statistical InnovationCompany: Ipsen Biopharm LtdAbout Ipsen: Ipsen is a mid-sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France … more information, visit us at and follow our latest news on LinkedInand Instagram. Job Description: WHAT - Summary & Purpose of the PositionThe Senior Director, Statistical Innovation leads innovative methodology, advanced modelling, and data-driven decision support across Ipsen's R&D portfolio, strengthening development strategy through design, simulation ...

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 ...

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 … strategies) for 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 ...

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 ...

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 ...

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 ...

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 ...

better decisions for the company and our customers Leading a team of analysts who will be responsible for curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company You'll be responsible for managing … ability Extensive experience using SQL to build and maintain complex data sources, and leveraging visualisation tools to surface critical insights Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing) Demonstration of impact/going above and beyond basic role requirements Ability ...

projects. Act as technical lead and solution architect on complex programmes. Apply techniques including Transformer Models, LLMs, Reinforcement Learning, Computer Vision, Sensor Processing and Statistical Modelling . Provide technical oversight, governance and peer review across projects. Work directly with customers to define requirements and deliver innovative solutions. Support … Learning, Mathematics, Physics or a related discipline. SC Clearance eligibility . Desirable: Signal Processing, Sensor Fusion or Edge Computing experience. Numerical Optimisation, Simulation or Statistical Modelling expertise. Proposal leadership, technical sales or client development experience. PhD, published research or conference speaking experience. Benefits: Up to £90,000 base ...