126 to 150 of 411 Statistical Modelling Jobs in England

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

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 ...

marketing campaigns and strategies using a variety of tools and techniques including A/B testing Assist with forecasting, trend analysis and scenario modelling Present findings and recommendations to stakeholders in a clear and concise manner Assist in the development of marketing plans and strategies based on data analysis … skills Desired Skills & Experience: Experience using Python, R or Alteryx for data transformation & manipulation purposes Strong analytical and problem‐solving skills, with experience in statistical modelling techniques Exceptional attention to detail, with the ability to identify and address data discrepancies Strong time management skills Committed to continuous learning ...

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. 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. ...

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 ...

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 ...

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 Very good programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia … 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 ...

statistics Proficiency in Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) Knowledge of data analysis techniques, such as statistical modelling and visualisation, to draw insight from data Familiarity with Git as part of the development process Effective organisational skills e.g. planning, time ...

Google Analytics. Experience in SQL. Experience in working with marketing, customer and sales data. Experience in A/B testing, knowledge of other statistical modelling techniques. A focus on commercial results and making evidence-based decisions. Problem solving and strategic thinking ability. Outstanding communication and presentation skills ...

applying AI to accelerate analytics workflows — agentic analysis, AI‐assisted insight generation, natural‐language data interfaces. Strong expertise in experimentation, causal inference, forecasting, and statistical modeling. Expertise in Python or R, fluency in SQL, and experience with large‐scale data tech (Databricks). Experience with FinTech, payments, crypto ...

Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies.Keen to demonstrate the potential that Agentic ...

Analytics in a client-facing environment, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Agentic ...

operations efficiency through data analytics. Deliver state-of-the-art data analytics and reporting solutions leveraging our commercial, operational and business data. Data modelling for reporting and analytics. Development and deployment of data visualizations and reports for management and internal business partners. Present ideas and solutions to business … Tools. YOUR PROFILE: Demonstrated technical expertise in the following areas: business intelligence tools, design, and development of dashboards and reporting applications, databases, data modelling, ETL processes. The successful candidate will be practiced in the hands-on development of software or analytics solutions. Minimum of 3 years of experience working ...

impact, we are looking for you. Job summaryAs a Quantitative Researcher/Developer, Associate, in the Fixed Income QTR team, you will provide advanced modelling solutions to the Fixed Income business. Your work will combine deep mathematical rigour — stochastic calculus, PDEs, numerical methods and the theory of the term … structure — with solid software engineering to deliver best-in-class pricing, risk and hedging models to the trading desk. QTR is an expert quantitative modelling group at J.P. Morgan and a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team ...

looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed Income QTR team, you will provide advanced modelling solutions to the Fixed Income business. Your work will combine deep mathematical rigour stochastic calculus, PDEs, numerical methods and the theory of the term structure with … solid software engineering to deliver best-in-class pricing, risk and hedging models to the trading desk. QTR is an expert quantitative modelling group at our client and a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QTR partners with ...

looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed Income QTR team, you will provide advanced modelling solutions to the Fixed Income business. Your work will combine deep mathematical rigour stochastic calculus, PDEs, numerical methods and the theory of the term structure with … solid software engineering to deliver best-in-class pricing, risk and hedging models to the trading desk. QTR is an expert quantitative modelling group at our client and a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QTR partners with ...

passionate about applied mathematics, curious, and ready to make an impact, we are looking for you. QTR is an expert quantitative modelling group at J.P. Morgan and a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QTR partners with traders … robust financial risk controls. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed Income QTR team, you will provide advanced modelling solutions to the Fixed Income business. Your work will combine deep mathematical rigour — stochastic calculus, PDEs, numerical methods and the theory of the term structure ...

scikit-learn, plus solid SQL. Hands-on experience with machine learning and neural networks using TensorFlow/Keras or PyTorch. Strong understanding of probability, statistical modelling and model calibration. Practical understanding of betting markets, odds, overround, liquidity and closing line value. Knowledge of Kelly criterion, bankroll management … Physics, Computer Science or another quantitative discipline. Master's or PhD is advantageous but not essential. Strong communication skills and the ability to explain modelling decisions and research findings clearly. Desirable Experience modelling tennis, football, NBA or UFC . Experience with in-play or exchange betting. Experience with ...

Desirable: Knowledge and understanding of the cell and gene therapy industry. Experience designing and implementing system integrations using APIs and integration frameworks. Experience with statistical modelling, DoE, multivariate data analysis and process analytics, including applications such as JMP. Proficiency in programming skills in languages such as Python. Skills ...

Desirable: Highly numerate and a confident user of Salesforce, Excel and Google products (primarily Google Sheets, Google Slides and Google Data Studio) Confident in statistical modelling (understands and can apply algorithms, regression models and decision trees) Ability to produce machine learning models Experience with BI tools (e.g. Oracle ...

operations analysis, data analysis, or a related role. Strong proficiency in data analysis tools and techniques (e.g., Excel, SQL, Python, R). Experience with statistical modeling and simulation software. Excellent analytical, problem-solving, and critical thinking skills. Effective communication skills, capable of presenting complex data clearly to diverse audiences ...