26 to 38 of 38 Statistical Modelling Jobs with Hybrid or WFH Options

can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small team … future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and … leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders Have expertise 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 »

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 »

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 »

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 »

marketing performance of our client’s business more strategically. Efficiently query and analyse data across multiple SQL databases. Initiate impactful analytics projects, generate actionable statistical insights and translate them into business recommendations. Collaborate closely with the clients and wider team of strategists, account managers, and other specialists. Support and … while collaborating closely with the clients and wider team. Query and manipulate data from a variety of sources, and explore the data with rigorous statistical methods (including building models where needed). Conduct regular reporting, automate processes and create reproducible code and documentation. Support the business in implementing solutions … Skills . Query, manipulate and join data from databases with reproducible code (e.g. SQL, Python, R, etc) Conduct rigorous exploratory data analysis with appropriate statistical methods in code (e.g. Python or R) – knowledge of linear models is a bonus. Listen to clients deeply to understand the business problem first 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 »

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 »

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 »

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 »

to support the development of advanced RNA medicines for one of the most pressing healthcare challenges of our time. The role will lead advanced modelling methods within a functional genomics and imaging team, with a sharp focus on generating novel target recommendations, validating them in models (including actual human … liver disease. This role will be based at Oxford Science Park. UK remote work is possible, with site visits. Key Responsibilities Lead the ‘advanced modelling’ squad within the In Silico Biology Team, and be the point of contact and a role model for advanced modelling within the company. … Maintain strong domain knowledge of leading ‘omics' and ‘big data’ computational methods Drive experimental design & modelling of deep phenotyping and/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 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 »

Summary As agreed and directed by the Senior Manager, the Technical Data Analyst will: Support the TSI team with the provision of data and statistical analyses and/or modelling for awarding purposes, as required, working closely with Leads and Specialists; Be able to manipulate, analyse and interpret … complex data sets of examination data including statistical and psychometric analyses of outcomes and performance, with guidance as necessary. Gain a good understanding of qualifications, their structure such as weighting and scaling measures, and other aspects of results delivery, for example, aegrotat calculations. Translate and present data in a more »