226 to 250 of 316 Statistical Modelling Jobs in the UK

time left to apply End Date: May 9, 2025 (20 days left to apply) What you'll deliver Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data. Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value … procedures and standards. Skills and Experience Essential University degree in a highly analytical discipline (data science, mathematics, quantitative finance, economics, etc.). Proficiency in statistical data modelling techniques in python. Experience with working with raw datasets and perform data wrangling pre-modelling. A hands-on data scientist or More ❯

Quantitative Researcher – Crypto HFT Apply advanced mathematical models and statistical techniques to develop alpha-generating strategies in crypto. A world-leading proprietary trading fund is seeking Quantitative Researchers to develop and execute high-frequency trading strategies in the digital asset space. You’ll collaborate with a multidisciplinary team of … with tier-1 infrastructure access. Key Skills & Knowledge: 4+ years’ experience with Python. Extensive expertise in mathematics and statistics, with a particular focus on statistical modelling and signal generation. Experience as a crypto high-frequency quantitative trader, proven multi-year track record of consistent PnL, and a 2+ More ❯

Quantitative Researcher – Crypto HFT Apply advanced mathematical models and statistical techniques to develop alpha-generating strategies in crypto. A world-leading proprietary trading fund is seeking Quantitative Researchers to develop and execute high-frequency trading strategies in the digital asset space. You’ll collaborate with a multidisciplinary team of … with tier-1 infrastructure access. Key Skills & Knowledge: 4+ years’ experience with Python. Extensive expertise in mathematics and statistics, with a particular focus on statistical modelling and signal generation. Experience as a crypto high-frequency quantitative trader, proven multi-year track record of consistent PnL, and a 2+ More ❯

the development, calibration, validation, and implementation of IRB models in line with regulatory requirements. This role demands a deep understanding of wholesale credit portfolios, statistical modeling techniques, and regulatory frameworks such as Basel III/IV. Key Responsibilities: IRB Model Development: Lead the development of IRB models for wholesale … PD), Loss Given Default (LGD), and Exposure at Default (EAD). Implement model calibration and backtesting methodologies to ensure accuracy and robustness. Apply advanced statistical and econometric techniques to enhance model performance and predictive power. Regulatory Compliance & Documentation: Ensure all models are compliant with regulatory standards, including Basel III … large financial institutions or consultancies. Strong knowledge of Basel III/IV regulatory framework and experience working with global regulators. Technical Skills: Proficiency in statistical and data analysis software such as R, Python, SAS, or MATLAB. Strong understanding of advanced statistical methods, econometrics, and machine learning techniques. Experience More ❯

and maintain customer segmentation models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, and product, to ensure data … based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. … machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Package Description Our benefits package increases the longer you've been with us. Here's what to expect: 25 days' holiday (increasing More ❯

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 ❯

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 More ❯

play a critical role in shaping strategic decisions and enhancing data-driven solutions across the organisation. Your Responsibilities Develop, implement and optimise in-house statistical models, frameworks, and tools across 360T's entire product suite (360TGTX, SUN, Market Data, RFS, SuperSonic Trader) Grow the quantitative analytics capabilities of 360T … risk management principles Experienced with time-series analysis, econometrics, and machine learning techniques Strong Python and SQL skills with experience in numerical computing and statistical analysis Experience using notebooks (e.g. Jupyter), Tableau or other data science tools for analysis and visualization A self-starter, with a track record of More ❯

team collaborating with product and engineering teams to further develop an understanding of needs. Your primary role will be to research and devise innovative statistical models for data analysis enabling smarter business processes by using analytics for meaningful insights. While mining, interpreting, and cleaning our data, this person will … Essential; c. 5-7 years experience within Data Science ideally with experience as an Data Scientist or similar Proficiency with data mining, mathematics, and statistical analysis Advanced experience in pattern recognition and predictive modeling Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS, R More ❯

in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture … to production monitoring and optimisation Designing and implementing sophisticated experiments and models that significantly enhance business performance Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting Extensive experience deploying ML models to production at scale with robust monitoring systems Advanced knowledge of SQL 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 ❯

around exceptional talent. The role We are looking for a Quantitative Researcher specialising in market-making within crypto centralized exchanges. Leveraging your expertise in statistical modelling and quantitative analysis of our trading, you will play a key role in expanding our market-making business. Responsibilities Experience, with market More ❯

test new signals for improving recommendation models. Use supervised and uplift learning algorithms to improve customer experience. Design A/B tests and conduct statistical analysis on their results. Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our … both for Amazon's business and for our customers. BASIC QUALIFICATIONS 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 5+ years of data scientist experience. Experience with statistical models e.g. multinomial logistic regression. 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 ❯

/overall product strategy. Profile, measure, and manage data to achieve best-in-class quality for Climate data products. Perform data profiling and apply statistical methods to find improvement opportunities, support interconnected data models and/or data quality measurements. Leverage subject matter expertise to help drive AI by … content and translate it into consumable data products, while applying technology such as AI to scale and enhance data collection. Knowledge of Data management, statistical analysis, quantitative modelling, or programming and applied data analysis skills, with proficiency using Excel as well as Python and SQL. Demonstrated data experience More ❯

environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models, predict and segment data to hypothesize/evolve uses cases to monetize 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 ❯

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 ❯

in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment. Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture … concepts to non-technical audiences Required Experience Leading E2E projects, from inception, planning/prioritisation to delivery including monitoring and alerting Designing experiments and modelling to generate actionable insights and enhance business performance Proficient in machine learning and statistical methods for predictive modelling and forecasting Experience deploying More ❯

goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic. Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering. Drive core business analytics and data science explorations to inform key business decisions and … of hands-on experience in big data, machine learning and predictive modeling. 3+ year people management and cross department functional experience. Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model More ❯

through collaboration with universities, exchange programs, and conference participation. BASIC QUALIFICATIONS - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist or similar role involving data extraction, analysis, statistical modeling 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 ❯

technical aspects of analysis and metrics into actionable insights for the advertiser and both technical and non-technical stakeholders. - In depth understanding of advanced statistical techniques and methodologies as well as simple linear regression analysis, multivariate regression analysis and model building. - Advanced in SQL ability to write complex queries … from scratch from multiple tables. - Fluency with Python (or R) - ability to run advanced statistical modelling. PREFERRED QUALIFICATIONS - Consulting experience with a major consulting firm or advertising experience with a top advertiser (agency or client side). - Experience with advertising publishers and marketing/creative agencies. - MBA, Master's 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 ❯