126 to 150 of 178 Statistical Modelling Jobs in the UK excluding London

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazon's global operations. This includes millions … that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific … systems while solving novel problems in machine learning and automated decision-making. Key job responsibilities The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of solving complex analytical problems Excellence in scientific More ❯

to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights. Stay up-to-date with the latest bioinformatics techniques, software … . Solid understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter). Strong communication skills to collaborate across teams and present findings to both More ❯

Proactive, adaptable, and results-focused; committed to data quality and able to perform in fast-paced environments. Analytical: Strong analytical skills with expertise in statistical analysis, predictive modelling, and interpreting complex data to deliver actionable insights. Communication: Clear and confident communicator with the ability to explain technical concepts … to non-technical stakeholders and influence through data-driven insights. Technical: Proficient in Alteryx, Power BI, SAP Analytics Cloud; experienced with Snowflake and data modelling; familiarity with R and Python highly desirable. Financial Services: Experience working in a Finance firm, preferably Wealth Manager/Private Bank/Hedge Fund. More ❯

decisions. Responsibilities: Partner with the wider IT teams to ensure requirements and solutions are implemented effectively Develop a range of data science solutions from statistical models to customer segmentations Drive development of data science models and best practices to align with the move towards a data led company Mentor More ❯

opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities: Extract, manipulate, and analyze datasets … to prepare for modelling (Excel, SQL, Python, Pandas). Build and refine base models with clear variable rationale and KPI linkage. Create ROI workbooks , response curves, and optimization charts. Run scenarios for budget allocation and client objectives. Validate models for accuracy, suggest and test improvements. Required Skills & Experience: Proven … experience with MMM development and implementation. Strong Python skills; familiarity with R for MMM. Expertise in regression modeling, statistical and ML techniques . Experience with probabilistic programming, Bayesian methods, and MCMC. Proficient in SQL and/or Spark for large-scale data mining. Solid understanding of statistical foundations More ❯

the future of credit decisioning through custom scorecard development and validation • Partner with major credit bureaus (TransUnion, Experian) to enhance risk segmentation • Architect advanced statistical models that revolutionize our credit risk assessment Lead Predictive Analytics: • Build next-generation Probability of Default (PD) models • Transform raw data into powerful predictive … work in UK • Strong programming skills (Python, R, SQL) • Advanced Excel proficiency • Experience with large-scale data analysis • Proven track record in credit risk modelling Must-Have Expertise: • Data Science, Statistics, or Economics degree - your foundation in quantitative excellence • Financial Services background - you understand the industry's pulse (Essential More ❯

has grown to 30+ data scientists and data engineers. Working collaboratively, the team is multi-disciplinary with the following skills and capabilities: machine learning, statistical modeling, signal detection, natural language processing, data visualization, network/graph modeling, ETL, data pipelines, data architecture, communication, product management and strategy. We work … on a corporate-wide set of client, investor, and operational problems. Build and maintain tools and services supporting the full model development lifecycle for statistical models, machine learning, optimization, and deep learning models (e.g., feature engineering, backtesting and simulation, validation, deployment). Maintain and monitor production models and experimentation. More ❯

surveys, feedback forms, CRM systems, and transactional databases. Interpret data to identify trends, patterns, and areas for improvement in the customer experience journey. Apply statistical techniques and predictive modelling to forecast customer trends and anticipate future needs. Use exploratory analysis to detect patterns, correlations, and anomalies in data. … paced environment. Strong communication skills, with the ability to convey complex information in a clear and concise manner. Familiarity with data engineering processes and statistical analysis techniques. Experience in quality management tools and methodologies is an advantage. If you think you have 75% or even 90% of what we More ❯

and concise insights. Strong communication and presentation skills, with the ability to effectively communicate findings to both technical and non-technical audiences. Experience with statistical analysis and data modelling techniques. Familiarity with web analytics tools (e.g., Google Analytics). A proactive and self-motivated approach with a strong More ❯

to provide insight and present in a way that gives clarity, confidence and certainty to the audience. Experience in different approaches to data analysis & statistical modelling. Excellent statistical approach to problem solving. Experience using machine learning and advanced analytics approaches to solve business problems Appreciation of building machine More ❯

implement cutting-edge AI and ML solutions across our business. This is a unique opportunity to play a key role in integrating predictive analytics, statistical modeling, and automation to enhance operational efficiency, forecasting, and decision-making. Key Responsibilities AI & ML Implementation – Develop and deploy machine learning models to improve … operational efficiency, predictive maintenance, and demand forecasting. Predictive Analytics – Use statistical modeling and forecasting techniques to drive insights into production trends, supply chain optimization, and energy efficiency. Data-Driven Decision Making – Collaborate with senior stakeholders to translate business challenges into AI/ML-driven solutions that improve manufacturing processes … a related field Technical Skills – Strong knowledge of Python, SQL, TensorFlow, Scikit-learn, Pandas, NumPy , and experience with predictive analytics, time-series forecasting, and statistical modeling . Business & Strategy – Ability to engage with senior stakeholders , understand business needs, and align AI strategies with company goals. Problem-Solving Mindset – A More ❯

As Senior Credit Risk Pricing Analyst, your day-to-day responsibilities include but are not limited to: Conducting pricing and credit risk analysis using statistical techniques and data modelling Monitoring portfolio trends to ensure alignment with return targets Supporting credit policy and underwriting strategy development Delivering actionable, data More ❯

the development and validation of PD, LGD, and EAD models in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory … insights to clients on regulatory trends and the strategic impact of model changes on capital requirements. REQUIREMENTS IRB model development experience Strong proficiency in statistical modeling techniques, with experience in tools such as R, Python, SAS, or SQL. A degree in a quantitative field such as mathematics, statistics, economics More ❯

A MSc/PhD from a top-tier university in a quantitative subject A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Proficiency in Python and/or C++ Reference: AMC*GWO*LDN More ❯

in their ability to create new strategies both independently and with team collaboration A strong background in mathematics and statistics, with good knowledge of statistical models and signal generation Proficiency in back-testing, simulation, and statistical techniques Data-mining skills paired up with data analysis skills. Previous experience More ❯

a degree with mathematical content and programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation & verification is a strong advantage Experience in … theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning e.g. Deep reinforcement learning, Monte-Carlo tree search, deep regression/classification More ❯

helping to shape the future of the data team at Unity, working closely with the Head of Data. You will be confident in the statistical analysis and modelling of financial data and be confident in presenting data with key stakeholders. The role works closely with senior stakeholders to More ❯

of science, maths, economics or engineering - A working knowledge of UK power markets and experience and understanding of power generation units - Solid experience with statistical and fundamental modelling using IT techniques such as; SQL, Python, Excel, Business Intelligence tools (Power BI); and be able to apply a pragmatic More ❯

of science, maths, economics or engineering - A working knowledge of UK power markets and experience and understanding of power generation units - Solid experience with statistical and fundamental modelling using IT techniques such as; SQL, Python, Excel, Business Intelligence tools (Power BI); and be able to apply a pragmatic More ❯

of science, maths, economics or engineering - A working knowledge of UK power markets and experience and understanding of power generation units - Solid experience with statistical and fundamental modelling using IT techniques such as; SQL, Python, Excel, Business Intelligence tools (Power BI); and be able to apply a pragmatic More ❯

of science, maths, economics or engineering - A working knowledge of UK power markets and experience and understanding of power generation units - Solid experience with statistical and fundamental modelling using IT techniques such as; SQL, Python, Excel, Business Intelligence tools (Power BI); and be able to apply a pragmatic More ❯

of science, maths, economics or engineering - A working knowledge of UK power markets and experience and understanding of power generation units - Solid experience with statistical and fundamental modelling using IT techniques such as; SQL, Python, Excel, Business Intelligence tools (Power BI); and be able to apply a pragmatic More ❯

of science, maths, economics or engineering - A working knowledge of UK power markets and experience and understanding of power generation units - Solid experience with statistical and fundamental modelling using IT techniques such as; SQL, Python, Excel, Business Intelligence tools (Power BI); and be able to apply a pragmatic More ❯

of science, maths, economics or engineering - A working knowledge of UK power markets and experience and understanding of power generation units - Solid experience with statistical and fundamental modelling using IT techniques such as; SQL, Python, Excel, Business Intelligence tools (Power BI); and be able to apply a pragmatic More ❯

of science, maths, economics or engineering - A working knowledge of UK power markets and experience and understanding of power generation units - Solid experience with statistical and fundamental modelling using IT techniques such as; SQL, Python, Excel, Business Intelligence tools (Power BI); and be able to apply a pragmatic More ❯