76 to 100 of 400 Statistical Modelling Jobs in the UK

dual role covering both operational and development duties. Moreover, the analyst is expected to take distance from the operational activity and our modelling in order to identify areas of improvement and contribute to the definition of the objectives of the team. He/She must participate to the training … critical information to the traders in London Ensure compliance with regulatory requirements, including REMIT, through the consistent application of defined processes. Main Development/Modelling Responsibilities The short-term power market analyst is responsible of the whole life cycle of an application or a model: from the research/ ...

novel algorithms, computational methods, or machine learning models, preferably within genomics or other large-scale biological data domains Strong understanding of data structures, algorithms, statistical modelling, and quantitative problem-solving Excellent programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia, R, Rust … confidential discussion on your career. Keywords: Computational, Genomics, Scientist, Research, Algorithm, Development, ML, Machine, Learning, AI, Bioinformatics, Statistics, Python, Maths, Sequencing, Modelling, Analytics, Computational, Software, Data, Biology, Quantitative, Programming, Cloud, Innovation, Biotechnology, Research, NGS, Pathogen, Bacteria, Virus, Disease, Oncology ...

partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services ...

partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services ...

manufacturing analytics. Experience extracting data from REST APIs. Knowledge of MongoDB or another NoSQL database. Experience using Python or R for analysis, automation or statistical modelling. Experience in demand forecasting, stock optimisation or customer segmentation. Applicants must be 18 years old or above, any subsequent job offer is subject ...

client-facing data science roles with strong stakeholder engagement skills Proficiency in Python and SQL; familiarity with R is advantageous Practical experience in building statistical models or predictive algorithms Hands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services ...

experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry setting You are a proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed ...

selection, portfolio optimization, and capital management.The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

experience in data science, applied science, or analytics (6+ years with MS/PhD) in an industry settingYou are a proven expert in statistical modeling and experiment design — including A/B testing, quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi-armed bandit ...

portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).* Solid understanding of probability and statistical modeling to support robust model development and interpretation.* Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable ...

direction and purpose, and work with Product Directors/VPs to advocate for insights-driven decision-making. What you'll need to succeedProficiency 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 modeling ...

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 way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly 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 proactively support and inform the delivery of the Asset Risk strategy in alignment with ...

. As part of our Telematics Pricing team, you'll work alongside experienced pricing and telematics specialists, using behavioural data, advanced analytics, and predictive modelling to shape pricing strategy and drive commercial performance. Youll apply your technical expertise and pricing insight to influence key business decisions, improve risk selection … experience working with telematics or other high velocity, high-volume sensor-based datasets using Python and SQL within cloud-based analytics environments Predictive Modelling Experience: Experience developing and deploying predictive models using Python and established data science methodologies would be advantageous Technical Skills & Tools: Experience with Radar is highly ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. A degree ...

data privacy, data security and responsible access to health data. We are looking for a Senior Data Scientist specialising in privacy, security and risk modelling, to help design, build and scale data‐driven controls that protect participants while enabling cutting‐edge research. This is a hands‐on role where … auditable tools. Work closely with governance, legal, ethics and operational colleagues to ensure technical controls fulfil their requirements. Keep up with emerging methods in statistical disclosure control, privacy‐enhancing technologies, AI security, synthetic data, de‐identification and privacy‐preserving computation. This role will be fully hybrid with the expectation ...

build something from the ground up and make a significant impact across the business. The product has strong parallels with quantitative trading and financial modelling - working with complex datasets, building structured models, using statistical modelling techniques, and using data to drive better decisions. What … datasets to identify patterns, trends and opportunities Developing approaches to ranking, weighting and interpreting data Using Python, R, SQL and Excel for analysis and modelling Helping shape a completely new analytical capability within the business What we're looking for... We're particularly interested in people currently working ...

cloud engineering practices. Where you land, you’ll be working with some of the biggest datasets in the UK – using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding … practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimize outcomes, enabling more informed decisions for both the business and its customers. Machine Learning ...

cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK — using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. Cloud-native AI engineering and large-scale data platforms, leveraging Google Cloud technologies and modern coding … practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning ...

modern cloud engineering practices. Wherever you land,you’llbe working with some of the biggest datasets in the UK — using everything fromSpark and statistical methodsto domain knowledge and emergingGenAIapplications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

modern cloud engineering practices. Wherever you land,you’llbe working with some of the biggest datasets in the UK — using everything fromSpark and statistical methodsto domain knowledge and emergingGenAIapplications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies … modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. ...

within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts … data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time‐series analysis. Prepare, transform and integrate large, multi‐source datasets (e.g. sensor, geospatial and communications ...

within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts … data and AI/ML pipelines to support advanced analytics and automated insight generation. Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics and time-series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications ...

cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging … technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business ...

cloud engineering practices. Wherever you land, you’ll be working with some of the biggest datasets in the UK — using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms, leveraging … technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence, applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business ...