1 to 25 of 39 Statistical Modelling Jobs with Hybrid or WFH Options

a computational perspective, research in the Institute builds and expands upon a variety of methods, from strategies for sequence analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific … approaches to reveal the impact of the environment on human health and physiology, both at the individual and the population level. T heory - using modelling, mathematical reasoning, and conceptual approaches to study complex and dynamic biological systems. You have An aspiration to work on key questions in bioinformatics and more »

role is embedded within the business, partnering with researchers to design and build models in scalable code and implement them into a cutting-edge modelling and analytics infrastructure. The framework will feed the models huge volumes of alternative datasets and in doing so, accurately track and capitalize on the … optimization scenarios. Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical more »

stakeholders. Develop your own skills and capabilities. Experience: Strong RADAR Skills. Possess an understanding of the full insurance pricing process and a range of statistical techniques for modelling. Proven history of mathematical research (either in academia or in industry) Experience in SQL, Python or is desirable. Python is preferred more »

Statistician/Python/Models/Algorithms/Data Modelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and … integrity of the data, detecting anomalies or discrepancies. • Your proficiency in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical … to project needs. • Prototype data models to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel more »

capabilities. Job requirements: Experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and more »

of IT data sources, ensuring data validity, and build sustainable relationships with Claims Handlers, IT, Data, actuarial departments, and other key internal teams. Deliver statistical analysis to identify performance improvement opportunities and provide MI/BI training on systems and digital innovations. Uphold ethical and service standards, demonstrate flexibility … agile mindset, teamwork, lean & 6Sigma principles, and actively pursue self-studies to maintain knowledge. The candidate: Proficiency in SQL, statistical modelling software (e.g., R, Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and 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 »

ROI analysis, synthesising recommendations, and presenting to senior executives Pragmatism; understanding of when analysis is good enough to finish Statistically literate, competent with some statistical testing or modelling techniques Here’s a flavour of what our analysts have been up to this week: Worked with design and product more »

for performing complex actuarial analysis and risk assessments to determine appropriate pricing strategies for insurance products. -The role will involve conducting data analysis, developing statistical models, collaborating with underwriters, and assessing insurance risks. -Strong analytical skills, actuarial knowledge, and expertise in underwriting and insurance are essential for this role. more »

provide insights into performance, and identify opportunities for strategic improvements. Key Responsibilities: Analyse and interpret large datasets to identify trends, patterns and insights Develop statistical models and perform data mining techniques to support business decisions. Work closely with various teams across the organisation to understand their data needs and … science, business intelligence). Proficient in SQL, DAX, and advanced Excel. Skilled in visualization tools such as Cognos, SSRS, Power BI, or Business Objects. Statistical solid and problem-solving acumen, showcasing deductive and inquisitive thinking. Business acumen, particularly in financial services. Outstanding communication and presentation abilities. Proficiency in effective more »

a computational perspective, research in the Institute builds and expands upon a variety of methods, from strategies for sequence analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific … approaches to reveal the impact of the environment on human health and physiology, both at the individual and the population level. T heory - using modelling, mathematical reasoning, and conceptual approaches to study complex and dynamic biological systems. You have An aspiration to work on key questions in bioinformatics and more »

place-based area. We encourage interest from individuals with interest and experience in: R/R Studio, Python, MS Excel, SQL, PowerBI, machine learning, statistical analysis, and reporting on complex data. About us The Royal Wolverhampton NHS Trust is one of the largest NHS trusts in the West Midlands … that suit your needs and as such will consider all requests from applicants who wish to work flexibly. Job description Job responsibilities To provide statistical insight and analysis of population health in Wolverhampton. Be able to explain complex information to a wide range of audiences to support decision makers. … data, social deprivation, census etc.). Create automation processes for the management of key population health datasets on an ongoing basis. To use robust statistical and analytical techniques and a range of software to interpret highly complex data gathered from a wide variety of sources. Use complex queries written more »

As an international service provider for pharmaceutical research, Numerus provides high-quality statistical analysis as our contribution to improving healthcare through medicine. Headquartered in the UK, west of London, and with offices in Germany and Switzerland we are proud to be the analytical service provider of choice for pharmaceutical … are actively looking to expand our team in Wokingham with a permanent position on a full or part-time basis. Your role: Applying innovative statistical approaches to solve novel data challenges Leading projects, ensuring efficient project management, compliance, and high-quality deliverables Analysing phase III clinical trial data in … order to support HTA submissions Providing statistical consultancy to internal and external customers Planning, analysing, and visualising observational and real-world data Supporting systematic literature reviews, data extraction, and analysis Critically appraising quality and reliability of data sources to support HTA decision-making Mentoring junior colleagues Contributing to internal more »

support teams in the UK and internationally. Following the success of recent prototyping, the team are now looking to kick on and get multiple statistical models released as part of a major programme of work. The focus of the role is to improve pricing decisions by delivering dynamic pricing … the analysis and models. Collaborate across the business to automate the application of science and machine learning. Key skills and experience: Very strong analytical, statistical, and modelling skills (including time series and ensemble models). Experience of Dynamic Pricing, Price Optimisation, and Demand Forecasting is beneficial. Experience writing more »

Job Specification: Senior Data Scientist - Cyber Risk Modelling (Probabilistic Risk Modelling) Salary: £70,000 - £85,000 Location: Hybrid working, 3 days in Bristol About Us We are a pioneering reinsurance agency based in Bristol, UK, specializing in the cutting-edge domain of cyber risk. Leveraging advanced analytics and … as a leader in the cyber reinsurance market. Position Overview We are seeking a highly skilled and experienced Data Scientist to join our dynamic modelling team. Reporting to our Head of Data Science & Modelling, the successful candidate will play a pivotal role in the development and operationalization of … risk model, ensuring accuracy, performance, and scalability. Data Analysis: Perform complex data analysis to extract insights and identify trends in cyber risk, utilizing various statistical and machine learning techniques. Operationalization: Translate model insights into actionable strategies and tools for internal and external stakeholders. Collaboration: Work closely with underwriters, engineers 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 »

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 … working with CRM systems. 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 »

for seamless user experiences Enhancing search engine logic through machine learning for an optimised search experience Implementing collaborative-filtering approaches for personalised resource recommendations Statistical modelling and forecasting to meet user needs effectively Developing real-time data pipelines to address gaps in our product offering Optimising customer experiences 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 »

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 »

ROI analysis, synthesising recommendations, and presenting to senior executives Pragmatism; understanding of when analysis is good enough to finish Statistically literate, competent with some statistical testing or modelling techniques Here’s a flavour of what our analysts have been up to this week: Worked with design and product more »

producing and maintaining datasets for the Feedback & Resolutions Team. This supports service design, impact assessment, and statutory requirements. The Insights Officer will contribute to statistical analysis and modelling, including trend analysis and projections, to inform service improvements and learning from feedback. They will collect and disseminate relevant data more »

provide insights into performance, and identify opportunities for strategic improvements. Key Responsibilities: Analyse and interpret large datasets to identify trends, patterns and insights Develop statistical models and perform data mining techniques to support business decisions Work closely with various teams across the organization to understand their data needs and … science, business intelligence). Proficient in SQL, DAX, and advanced Excel. Skilled in visualization tools such as Cognos, SSRS, Power BI, or Business Objects. Statistical solid and problem-solving acumen, showcasing deductive and inquisitive thinking. Business acumen, particularly in financial services. Outstanding communication and presentation abilities. Proficiency in effective more »

to hire multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role … You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders more »

cell RNA-seq data, spatial transcriptomics data, bulk RNA-seq data to evaluate effects of gene perturbation on cell models Involvement in experimental design & modelling of deep phenotyping or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional teams bringing together best … in-class Drug Discovery, Drug Development, Product & Project Management capabilities. Routinely use Python/R for data analyses, in particular data wrangling, modelling, and visualisation. Develop solutions to increase automation, reliability and scalability of our data processing pipelines and workflows. Lead, co-develop, and run pipelines in a cloud … for instance lncRNAs) Experience in building and deploying pipelines (e.g. Nextflow) for data science Skills & Competencies Required Deep understanding of human biology beyond the statistical/ML models being developed Good knowledge with rapidly prototyping, writing and maintaining Python and/or R code, harnessing statistical tools for more »